[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

CN112435735B - Switching method, device, equipment, medium and system - Google Patents

Switching method, device, equipment, medium and system Download PDF

Info

Publication number
CN112435735B
CN112435735B CN202011383173.8A CN202011383173A CN112435735B CN 112435735 B CN112435735 B CN 112435735B CN 202011383173 A CN202011383173 A CN 202011383173A CN 112435735 B CN112435735 B CN 112435735B
Authority
CN
China
Prior art keywords
auxiliary diagnosis
organ
identification information
switching
auxiliary
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011383173.8A
Other languages
Chinese (zh)
Other versions
CN112435735A (en
Inventor
黄访
聂瑞
朱宏新
李�杰
吴吉芳
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Chongqing Jinshan Medical Technology Research Institute Co Ltd
Original Assignee
Chongqing Jinshan Medical Technology Research Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Chongqing Jinshan Medical Technology Research Institute Co Ltd filed Critical Chongqing Jinshan Medical Technology Research Institute Co Ltd
Priority to CN202011383173.8A priority Critical patent/CN112435735B/en
Publication of CN112435735A publication Critical patent/CN112435735A/en
Application granted granted Critical
Publication of CN112435735B publication Critical patent/CN112435735B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H30/00—ICT specially adapted for the handling or processing of medical images
    • G16H30/20—ICT specially adapted for the handling or processing of medical images for handling medical images, e.g. DICOM, HL7 or PACS
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
    • G06F18/2411—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on the proximity to a decision surface, e.g. support vector machines
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/46—Descriptors for shape, contour or point-related descriptors, e.g. scale invariant feature transform [SIFT] or bags of words [BoW]; Salient regional features
    • G06V10/462—Salient features, e.g. scale invariant feature transforms [SIFT]
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Data Mining & Analysis (AREA)
  • Health & Medical Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Evolutionary Computation (AREA)
  • General Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Software Systems (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Molecular Biology (AREA)
  • Computing Systems (AREA)
  • Mathematical Physics (AREA)
  • Evolutionary Biology (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Computational Linguistics (AREA)
  • Biophysics (AREA)
  • Pathology (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Radiology & Medical Imaging (AREA)
  • Endoscopes (AREA)

Abstract

The application provides a switching method, a switching device, a switching medium and a switching system, wherein the method comprises the following steps: reading identification information of an auxiliary diagnosis organ; the auxiliary diagnosis organ identification information corresponds to a target organ; determining an auxiliary diagnosis function request corresponding to the target organ according to the auxiliary diagnosis organ identification information; and sending the auxiliary diagnosis function request to the interaction equipment so that the interaction equipment can switch the corresponding auxiliary diagnosis function according to the auxiliary diagnosis function request. The auxiliary diagnosis function request corresponding to the target organ is automatically generated at the moment, the user does not need to manually trigger the request, the request generation mode is simplified, and the request is sent to the interaction equipment so that the interaction equipment automatically switches the auxiliary diagnosis function, so that the auxiliary diagnosis function request can be automatically generated, the switching of the auxiliary diagnosis function in the system is realized, the switching operation is simplified, the user does not need to manually execute the switching, and the risk of patient infection is reduced.

Description

Switching method, device, equipment, medium and system
Technical Field
The present application relates to the field of diagnostic function switching technologies, and in particular, to a switching method, device, apparatus, medium, and system.
Background
With the increasing application of artificial intelligence and image recognition technology in the field of medical auxiliary diagnosis, various functional auxiliary diagnosis software and systems for endoscopes appear, but most auxiliary diagnosis aiming at single organs and single disease types is limited in assistance to actual work of clinicians. The algorithms required for diagnosis of a plurality of organs and the presented software function interfaces are completely different, the selection of corresponding functions is required before the endoscopy, if a user needs to perform multi-site examination, the diagnosis software is required to be manually switched before each site examination, the user needs to bypass from the examination site to the equipment side to manually issue a request for auxiliary diagnosis function switching, the switching is complex, the hands and the operation instruments of doctors are easy to pollute, and the infection risk of a patient is introduced.
Therefore, how to provide a solution to the above technical problem is a problem that a person skilled in the art needs to solve at present.
Disclosure of Invention
The application aims to provide a switching method, a switching device, a switching equipment, a medium and a switching system, which can simplify switching operation. The specific scheme is as follows:
the application provides a switching method, which comprises the following steps:
Reading identification information of an auxiliary diagnosis organ; the auxiliary diagnosis organ identification information corresponds to a target organ;
determining an auxiliary diagnosis function request corresponding to the target organ according to the auxiliary diagnosis organ identification information;
And sending the auxiliary diagnosis function request to the interactive equipment so that the interactive equipment can switch the corresponding auxiliary diagnosis function according to the auxiliary diagnosis function request.
Preferably, the reading auxiliary diagnosis organ identification information; the auxiliary diagnosis organ identification information corresponds to a target organ; determining a diagnosis assisting function request corresponding to the target organ according to the diagnosis assisting organ identification information, including:
Acquiring an auxiliary diagnosis organ identification image;
And identifying the auxiliary diagnosis organ identification image to obtain organ information of the target organ, and generating a corresponding auxiliary diagnosis function request according to the organ information.
Preferably, before the acquiring the auxiliary diagnosis organ identification image, the method further comprises:
collecting an output signal of an endoscope host, and judging whether the output signal is a standby signal or a video stream signal;
and if the output signal is the video stream signal, sending auxiliary diagnosis selection prompt information to the interaction equipment so as to enable the camera of the endoscope host to scan the corresponding auxiliary diagnosis organ identification image.
Preferably, the determining whether the output signal is a standby signal or a video stream signal includes:
determining a signal characteristic of the output signal;
And judging whether the output signal is the standby signal or the video stream signal according to the signal characteristics.
Preferably, the identifying the auxiliary diagnosis organ identification image to obtain corresponding organ information includes:
And identifying the auxiliary diagnosis organ identification image by using a convolutional neural network image classification model to obtain the corresponding organ information.
Preferably, the reading auxiliary diagnosis organ identification information; the auxiliary diagnosis organ identification information corresponds to a target organ; determining a diagnosis assisting function request corresponding to the target organ according to the diagnosis assisting organ identification information, including:
acquiring voice identification information of an organ to be diagnosed;
And identifying the voice identification information of the auxiliary diagnosis organ to obtain organ information of the target organ, and generating a corresponding auxiliary diagnosis function request according to the organ information.
The application provides a switching device, comprising:
The acquisition module is used for reading the identification information of the organ to be diagnosed; the auxiliary diagnosis organ identification information corresponds to a target organ;
the identification module is used for determining an auxiliary diagnosis function request corresponding to the target organ according to the auxiliary diagnosis organ identification information;
And the sending module is used for sending the auxiliary diagnosis function request to the interactive equipment so that the interactive equipment can switch the corresponding auxiliary diagnosis function according to the auxiliary diagnosis function request.
The application provides a switching device, comprising:
A memory for storing a computer program;
and a processor for implementing the steps of the handover method as described above when executing the computer program.
The present application provides a computer readable storage medium having stored thereon a computer program which when executed by a processor implements the steps of the handover method as described above.
The application provides a switching system, comprising:
The switching device and the interaction device as described above;
the interaction equipment is used for switching corresponding auxiliary diagnosis functions according to the auxiliary diagnosis function request.
The application provides a switching method, which comprises the following steps: reading identification information of an auxiliary diagnosis organ; the auxiliary diagnosis organ identification information corresponds to a target organ; determining an auxiliary diagnosis function request corresponding to the target organ according to the auxiliary diagnosis organ identification information; and sending the auxiliary diagnosis function request to the interaction equipment so that the interaction equipment can switch the corresponding auxiliary diagnosis function according to the auxiliary diagnosis function request.
Therefore, the auxiliary diagnosis function request can be automatically generated, and then the auxiliary diagnosis function in the system is switched, so that the switching operation is simplified, the user is not required to manually execute the switching, and the risk of patient infection is reduced.
The application also provides a switching device, switching equipment, medium and system, which have the beneficial effects and are not repeated here.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings that are required to be used in the embodiments or the description of the prior art will be briefly described below, and it is obvious that the drawings in the following description are only embodiments of the present application, and that other drawings can be obtained according to the provided drawings without inventive effort for a person skilled in the art.
Fig. 1 is a flowchart of a switching method according to an embodiment of the present application;
fig. 2 is a flowchart of another switching method according to an embodiment of the present application;
fig. 3 is a flowchart of another switching method according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of a switching device according to an embodiment of the present application.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present application more apparent, the technical solutions of the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some embodiments of the present application, but not all embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
With the increasing application of artificial intelligence and image recognition technology in the field of medical auxiliary diagnosis, various functional auxiliary diagnosis software and systems for endoscopes appear, but most auxiliary diagnosis aiming at single organs and single disease types is limited in assistance to actual work of clinicians. The algorithms required for diagnosis of a plurality of organs and the presented software function interfaces are completely different, the selection of corresponding functions is required before the endoscopy, if a user needs to perform multi-site examination, the diagnosis software is required to be manually switched before each site examination, the user needs to bypass from the examination site to the equipment side to manually issue a request for auxiliary diagnosis function switching, the switching is complex, the hands and the operation instruments of doctors are easy to pollute, and the infection risk of a patient is introduced.
Based on the above technical problems, the present embodiment provides a switching method, which can avoid manual operation, and referring specifically to fig. 1, fig. 1 is a flowchart of a switching method provided by an embodiment of the present application, and specifically includes:
s101, reading auxiliary diagnosis organ identification information; the auxiliary diagnosis organ identification information corresponds to a target organ;
The auxiliary diagnosis organ identification information is auxiliary diagnosis identification information corresponding to the target organ, for example, when the target organ is stomach, the auxiliary diagnosis organ identification information is auxiliary diagnosis identification information corresponding to the stomach; when the target organ is an intestine, the auxiliary diagnosis organ identification information is auxiliary diagnosis identification information corresponding to the intestine, and when the target organ is a trachea, the auxiliary diagnosis organ identification information is auxiliary diagnosis identification information corresponding to the trachea. It can be understood that the target organ and the identification information of the auxiliary diagnosis organ are in one-to-one correspondence, and the condition that one auxiliary diagnosis organ identification information corresponds to a plurality of organs does not exist. The embodiment is implemented in a switching device, where the switching device provides one or more input/output interfaces, the input/output interfaces are connected with an input device, input information is received, and auxiliary diagnosis organ identification information is read through the one or more input/output interfaces.
S102, determining an auxiliary diagnosis function request corresponding to a target organ according to auxiliary diagnosis organ identification information;
And identifying the auxiliary diagnosis organ identification information to obtain a corresponding auxiliary diagnosis function request. That is, one auxiliary diagnosis organ identification information corresponds to one auxiliary diagnosis function request.
And S103, sending the auxiliary diagnosis function request to the interaction equipment so that the interaction equipment can switch the corresponding auxiliary diagnosis function according to the auxiliary diagnosis function request.
And sending the auxiliary diagnosis function request to the interaction equipment, and switching the corresponding centralizing function by the interaction equipment according to the auxiliary diagnosis request. In one implementation, if the current auxiliary diagnosis function is the auxiliary diagnosis function 1 and the auxiliary diagnosis function request is the request of the auxiliary diagnosis function 2, the interaction device switches the current auxiliary diagnosis function 1 to the auxiliary diagnosis function 2 according to the auxiliary diagnosis function request; in another implementation, if the current auxiliary diagnostic function is the auxiliary diagnostic function 2 and the auxiliary diagnostic function request is a request of the auxiliary diagnostic function 2, the interactive device remains unchanged according to the auxiliary diagnostic function request. It will be appreciated that when the handover is completed, the corresponding checking functions and software interfaces may be performed.
It will be appreciated that the switching in the present application is directed to switching of multiple auxiliary diagnostic functions in a multi-organ or multi-lesion endoscopy assisted diagnostic system built into the system.
Based on the above technical scheme, the embodiment reads the auxiliary diagnosis organ identification information, then determines the auxiliary diagnosis function request corresponding to the target organ according to the auxiliary diagnosis organ identification information, at this time, automatically generates the auxiliary diagnosis function request without manually triggering the request by a user, simplifies the request generation mode, and then sends the request to the interaction equipment so that the interaction equipment automatically switches the auxiliary diagnosis function.
Based on the foregoing embodiments, the present embodiment provides a switching method, and referring to fig. 2 specifically, fig. 2 is a flowchart of another switching method provided in the embodiment of the present application, including:
s201, acquiring an auxiliary diagnosis organ identification image;
The auxiliary diagnosis organ identification information in the embodiment is an auxiliary diagnosis organ identification image, the acquisition of the auxiliary diagnosis organ identification image is not limited in the embodiment, and the user can set the auxiliary diagnosis organ identification information in a self-defined manner.
In one implementation, acquiring the auxiliary diagnostic organ identification image includes: the method comprises the steps of acquiring an auxiliary diagnosis organ identification image sent by an endoscope host, wherein the auxiliary diagnosis organ identification image is obtained after a camera of the endoscope host scans the auxiliary diagnosis organ identification image displayed by interaction equipment. It can be understood that the correspondence between the auxiliary diagnosis organ identification images and the auxiliary diagnosis function requests is set in the system, and the auxiliary diagnosis function requests can be determined according to the auxiliary diagnosis organ identification images. The auxiliary diagnosis function request is obtained in the image mode, so that the complexity caused by manual switching of a user is avoided.
In another achievable embodiment, acquiring the auxiliary diagnostic organ identification image includes: and acquiring an auxiliary diagnosis organ identification image sent by the endoscope host, wherein the auxiliary diagnosis organ identification image is an image obtained after a camera of the endoscope host scans a human organ. It can be understood that the tissue morphology of different organs is different, and the corresponding organs can be determined according to the different tissue morphologies, so as to obtain the corresponding auxiliary diagnosis function request. The auxiliary diagnosis function request is obtained in the image mode, so that the complexity caused by manual switching of a user is avoided.
Further, before the auxiliary diagnosis organ identification image is acquired, the method further comprises the following steps: collecting an output signal of an endoscope host, and judging whether the output signal is a standby signal or a video stream signal; if the output signal is a video stream signal, sending auxiliary diagnosis selection prompt information to the interaction equipment so as to enable the camera of the endoscope host to scan the corresponding auxiliary diagnosis organ identification image.
And monitoring the output signal of the endoscope host in real time. The output signal comprises a standby signal and a video stream signal, if the output signal is the video stream signal, the video stream signal characterizes that the endoscope is about to execute the endoscope operation or is executing the endoscope operation, and then prompt information can be sent to the interaction equipment, so that a display unit of the interaction equipment prompts a doctor to select an auxiliary diagnosis function, after the doctor sees the prompt, the doctor scans a symbol of the required auxiliary diagnosis function, namely an auxiliary diagnosis organ identification image on an interface by using a camera of the endoscope host, so that after the switching equipment receives the auxiliary diagnosis organ identification image, an auxiliary diagnosis function request is determined. Therefore, the output signal of the endoscope host is detected to prompt the user in time, so that the switching efficiency is improved.
Further, determining whether the output signal is a standby signal or a video stream signal includes: determining a signal characteristic of the output signal; and judging whether the output signal is a standby signal or a video stream signal according to the signal characteristics.
The signal features comprise a flag bit, a black screen and a rainbow bar signal, namely, when the signal features are the flag bit, the flag bit 1 represents a standby signal, the flag 2 represents a video stream signal, and when the signal features are the black screen or the rainbow bar signal, the black screen represents the standby signal, and the rainbow bar signal ensures the video stream signal. Of course, other forms are possible, and the description of this embodiment is omitted.
S202, identifying the auxiliary diagnosis organ identification image to obtain organ information of a target organ, and generating a corresponding auxiliary diagnosis function request according to the organ information;
in one implementation manner, the identifying the organ identification image of the auxiliary diagnosis organ to obtain organ information of the target organ includes: matching the auxiliary diagnosis organ identification image with a pre-stored identification image to obtain a matched image; and obtaining corresponding organ information according to the matched images.
In another implementation manner, the identifying the organ identification image of the auxiliary diagnosis organ to obtain organ information of the target organ includes: and extracting characteristic information in the auxiliary diagnosis organ identification image, and determining corresponding organ information according to the characteristic information.
In another implementation manner, the identifying the organ identification image of the auxiliary diagnosis organ to obtain organ information of the target organ includes: and identifying the auxiliary diagnosis organ identification image by using a convolutional neural network image classification model to obtain corresponding organ information. In this embodiment, the convolutional neural network image classification model is pre-trained, and can identify the organ identification image for auxiliary diagnosis and output organ information through determination.
Of course, the corresponding organ information can also be determined by adopting schemes such as image classification based on a convolutional neural network, image classification based on manual feature extraction and SVM support vector machine, SIFT image feature recognition and matching, and the like, and the embodiment is not repeated.
S203, sending the auxiliary diagnosis function request to the interaction equipment so that the interaction equipment can switch the corresponding auxiliary diagnosis function according to the auxiliary diagnosis function request.
Based on the above technical scheme, the auxiliary diagnosis request function is determined through the identification of the auxiliary diagnosis organ identification image, the operation is convenient, the doctor is not required to realize the auxiliary diagnosis function switching through the mouse button or the touch screen, and the user experience is greatly improved.
Based on the foregoing embodiments, the present embodiment provides a switching method, and referring to fig. 3 specifically, fig. 3 is a flowchart of another switching method provided in the embodiment of the present application, including:
S301, acquiring voice identification information of an organ to be diagnosed;
S302, identifying the voice identification information of the organ to be diagnosed, obtaining organ information of the target organ, and generating a corresponding diagnosis assisting function request according to the organ information.
The microphone of the switching device reads the voice identification information of the auxiliary diagnosis organ, which is sent by the user and corresponds to the organ, for example, when the user sends out the stomach auxiliary diagnosis, the switching device acquires the voice identification information of the auxiliary diagnosis organ of the stomach auxiliary diagnosis, and then identifies the voice identification information of the auxiliary diagnosis organ to obtain the stomach auxiliary diagnosis function request. Of course, when the user sends out the "first auxiliary diagnosis", the switching device may acquire the voice identification information of the auxiliary diagnosis organ of the "first auxiliary diagnosis", and obtain the corresponding auxiliary diagnosis function request with the corresponding relation between the pre-stored voice and the auxiliary diagnosis function request, for example, when the first auxiliary diagnosis corresponds to the stomach auxiliary diagnosis, obtain the stomach auxiliary diagnosis function request.
S303, sending the auxiliary diagnosis function request to the interaction equipment so that the interaction equipment can switch the corresponding auxiliary diagnosis function according to the auxiliary diagnosis function request.
Therefore, the embodiment realizes the switching of the auxiliary diagnosis function in a voice mode, and greatly facilitates the switching operation of the user.
The following describes an apparatus provided in an embodiment of the present application, and the apparatus described below and the method described above may be referred to correspondingly, and referring to fig. 4, fig. 4 is a schematic structural diagram of a switching apparatus provided in an embodiment of the present application, where the switching apparatus includes:
An acquisition module 201, configured to read identification information of an organ to be diagnosed; the auxiliary diagnosis organ identification information corresponds to a target organ;
An identification module 202, configured to determine an auxiliary diagnosis function request corresponding to the target organ according to the auxiliary diagnosis organ identification information;
and the sending module 203 is configured to send the auxiliary diagnosis function request to the interaction device, so that the interaction device switches the corresponding auxiliary diagnosis function according to the auxiliary diagnosis function request.
Preferably, the acquisition module 201 comprises:
the first acquisition unit is used for acquiring an auxiliary diagnosis organ identification image;
an identification module 202 comprising:
The second identification unit is used for identifying the auxiliary diagnosis organ identification image to obtain organ information of the target organ, and generating a corresponding auxiliary diagnosis function request according to the organ information.
Preferably, the method further comprises:
The acquisition module is used for acquiring output signals of the endoscope host;
the judging module is used for judging whether the output signal is a standby signal or a video stream signal;
And the sending module is used for sending auxiliary diagnosis selection prompt information to the interaction equipment if the output signal is a video stream signal so as to enable the camera of the endoscope host to scan the corresponding auxiliary diagnosis organ identification image.
Preferably, the judging module includes:
a determining unit for determining a signal characteristic of the output signal;
And the judging unit is used for judging whether the output signal is a standby signal or a video stream signal according to the signal characteristics.
Preferably, the identification unit includes:
And the identification subunit is used for identifying the auxiliary diagnosis organ identification image by using the convolutional neural network image classification model to obtain corresponding organ information.
Preferably, the acquisition module 201 comprises:
the second acquisition unit is used for acquiring voice identification information of the organ to be diagnosed;
an identification module 202 comprising:
The second recognition unit is used for recognizing the voice identification information of the organ to be diagnosed, obtaining organ information of the target organ, and generating a corresponding diagnosis assisting function request according to the organ information.
Since the embodiments of the apparatus portion and the embodiments of the method portion correspond to each other, the embodiments of the apparatus portion are referred to the description of the embodiments of the method portion, and are not repeated herein.
The following describes a switching device provided in an embodiment of the present application, and the switching device described below and the method described above may be referred to correspondingly.
The application provides a switching device, comprising:
A memory for storing a computer program;
and a processor for implementing the steps of the handover method as described above when executing the computer program.
Since the embodiments of the switching device portion and the embodiments of the method portion correspond to each other, the embodiments of the switching device portion are referred to the description of the embodiments of the method portion, and are not repeated herein.
A computer readable storage medium provided in the embodiments of the present application is described below, and the computer readable storage medium described below and the method described above may be referred to correspondingly.
The present application provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of the handover method as above.
Since the embodiments of the computer readable storage medium portion and the embodiments of the method portion correspond to each other, the embodiments of the computer readable storage medium portion are referred to the description of the embodiments of the method portion, and are not repeated herein.
The following describes a switching system provided in an embodiment of the present application, and the switching system described below and the method described above may be referred to correspondingly.
The embodiment provides a switching system for diagnosis function of auxiliary diagnosis system of electronic endoscope, when satisfying doctor's auxiliary diagnosis demand, can more intelligent switch different organ auxiliary diagnosis functions, brought better convenience and security, include: switching equipment and interaction equipment; the interaction equipment is used for switching the corresponding auxiliary diagnosis function according to the auxiliary diagnosis function request.
The switching device may perform the steps of:
reading identification information of an auxiliary diagnosis organ; determining a corresponding auxiliary diagnosis function request according to the auxiliary diagnosis organ identification information; and sending the auxiliary diagnosis function request to the interaction equipment so that the interaction equipment can switch the corresponding auxiliary diagnosis function according to the auxiliary diagnosis function request.
Further, the switching device includes:
The video acquisition chip is used for acquiring identification information of the organ to be diagnosed;
the image recognition chip is used for recognizing the auxiliary diagnosis organ identification image to obtain corresponding organ information, generating a corresponding auxiliary diagnosis function request according to the organ information and sending the auxiliary diagnosis function request to the interaction equipment;
The interaction equipment, in particular to human-machine interaction equipment, is used for switching corresponding auxiliary diagnosis functions according to the auxiliary diagnosis function request;
Further, a video acquisition chip in the switching equipment is connected with the endoscope host machine to acquire and decode video signals output by the endoscope host machine; the method specifically comprises the steps of collecting an output signal of an endoscope host;
The switching device further includes: the lens body is connected with the state monitoring chip and is used for monitoring the signals acquired and decoded by the video acquisition chip and judging whether the signals are video stream signals after the endoscope is inserted into the host or standby signals of the acquisition card; specifically, whether the output signal is a standby signal or a video stream signal can be judged, if the output signal is the video stream signal, auxiliary diagnosis selection prompt information is sent to the interaction equipment, so that a camera of the endoscope host scans a corresponding auxiliary diagnosis organ identification image.
The man-machine interaction equipment consists of an interaction processing unit and a display unit, wherein after the system is started, the interaction processing unit displays symbols (auxiliary diagnosis organ identification images) representing different auxiliary diagnosis functions, which are stored in a computer memory in advance, on the display unit, meanwhile, a mirror connection state monitoring chip is called to start monitoring, once a video stream signal of an endoscope inserted into a host is monitored, the interaction processing unit prompts a doctor to select the auxiliary diagnosis function on the display unit, the doctor scans the symbols (auxiliary diagnosis organ identification images) of the required auxiliary diagnosis function by a camera of the endoscope after seeing the prompt, and the scanned image signals are captured by a video acquisition chip and transmitted to an image recognition chip.
The image recognition chip recognizes the auxiliary diagnosis organ identification image captured by the video acquisition chip under the control of the man-machine interaction equipment, judges the auxiliary diagnosis function represented by the symbol, obtains a corresponding auxiliary diagnosis function request, and feeds back the judgment result (auxiliary diagnosis function request) to the man-machine interaction equipment. And starting corresponding auxiliary diagnosis functions and software interfaces by the man-machine interaction equipment.
And the video acquisition chip is as follows: the video signal acquisition device can be an external video acquisition box or an acquisition card of a PCI interface, is connected with an electronic endoscope auxiliary diagnosis system through a USB interface or the PCI interface, and is connected with a video output port of an electronic endoscope image processing host (endoscope host) through DVP, HDMI, CVBS and other signal ports to acquire video signals.
Mirror connection state monitoring chip: the judgment of the connection state of the lens body is carried out through the signal characteristics transmitted by the video acquisition chip, and the signal characteristics can be marker bits, or black screen and rainbow bar signals.
Human-computer interaction equipment: the system consists of a group of logic and programs, and schedules and integrates other functional chips to display interactive information.
An image recognition chip: the image of the auxiliary diagnosis function chip which is represented by the different image contents is identified and matched by the image identification chip, the content of the image can be graphics, symbols or characters, the auxiliary diagnosis function chip represented by the different image contents is defined in advance, and the image identification chip is used for carrying out identification and matching according to the image content information so as to convert the input image into semantic information and return the semantic information to the man-machine interaction equipment.
Since the embodiments of the switching system portion and the embodiments of the method portion correspond to each other, the embodiments of the switching system portion are referred to the description of the embodiments of the method portion, and are not repeated herein.
In the description, each embodiment is described in a progressive manner, and each embodiment is mainly described by the differences from other embodiments, so that the same similar parts among the embodiments are mutually referred. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. The software modules may be disposed in Random Access Memory (RAM), memory, read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The switching method, the switching device, the switching equipment, the switching medium and the switching system provided by the application are described in detail. The principles and embodiments of the present application have been described herein with reference to specific examples, the description of which is intended only to facilitate an understanding of the method of the present application and its core ideas. It should be noted that it will be apparent to those skilled in the art that various modifications and adaptations of the application can be made without departing from the principles of the application and these modifications and adaptations are intended to be within the scope of the application as defined in the following claims.

Claims (10)

1. A method of handover, comprising:
Reading identification information of an auxiliary diagnosis organ; the auxiliary diagnosis organ identification information corresponds to a target organ;
determining an auxiliary diagnosis function request corresponding to the target organ according to the auxiliary diagnosis organ identification information; the auxiliary diagnosis organ identification information corresponds to an auxiliary diagnosis function request;
Sending the auxiliary diagnosis function request to interaction equipment so that the interaction equipment can switch corresponding auxiliary diagnosis functions according to the auxiliary diagnosis function request;
Wherein the switching is the switching of a plurality of auxiliary diagnosis functions in an endoscopic auxiliary diagnosis system of a plurality of organs or a plurality of disease areas arranged in the system; the auxiliary diagnosis organ identification information is an auxiliary diagnosis organ identification image; the determining the auxiliary diagnosis function request corresponding to the target organ according to the auxiliary diagnosis organ identification information is as follows:
Based on the preset corresponding relation between the auxiliary diagnosis organ identification images and the auxiliary diagnosis function requests, the auxiliary diagnosis function requests are determined according to the auxiliary diagnosis organ identification images, and the auxiliary diagnosis function requests are automatically generated.
2. The switching method according to claim 1, wherein the reading of the auxiliary diagnosis organ identification information; the auxiliary diagnosis organ identification information corresponds to a target organ; determining a diagnosis assisting function request corresponding to the target organ according to the diagnosis assisting organ identification information, including:
Acquiring an auxiliary diagnosis organ identification image;
And identifying the auxiliary diagnosis organ identification image to obtain organ information of the target organ, and generating a corresponding auxiliary diagnosis function request according to the organ information.
3. The method of switching according to claim 2, further comprising, prior to the acquiring the auxiliary organ identification image:
collecting an output signal of an endoscope host;
judging whether the output signal is a standby signal or a video stream signal;
and if the output signal is the video stream signal, sending auxiliary diagnosis selection prompt information to the interaction equipment so as to enable the camera of the endoscope host to scan the corresponding auxiliary diagnosis organ identification image.
4. A switching method according to claim 3, wherein said determining whether said output signal is a standby signal or a video stream signal comprises:
determining a signal characteristic of the output signal;
And judging whether the output signal is the standby signal or the video stream signal according to the signal characteristics.
5. The switching method according to claim 2, wherein the identifying the auxiliary diagnosis organ identification image to obtain corresponding organ information includes:
And identifying the auxiliary diagnosis organ identification image by using a convolutional neural network image classification model to obtain the corresponding organ information.
6. The switching method according to claim 1, wherein the reading of the auxiliary diagnosis organ identification information; the auxiliary diagnosis organ identification information corresponds to a target organ; determining a diagnosis assisting function request corresponding to the target organ according to the diagnosis assisting organ identification information, including:
acquiring voice identification information of an organ to be diagnosed;
And identifying the voice identification information of the auxiliary diagnosis organ to obtain organ information of the target organ, and generating a corresponding auxiliary diagnosis function request according to the organ information.
7. A switching device, comprising:
The acquisition module is used for reading the identification information of the organ to be diagnosed; the auxiliary diagnosis organ identification information corresponds to a target organ;
The identification module is used for determining an auxiliary diagnosis function request corresponding to the target organ according to the auxiliary diagnosis organ identification information; the auxiliary diagnosis organ identification information is an auxiliary diagnosis organ identification image; the auxiliary diagnosis organ identification information corresponds to an auxiliary diagnosis function request;
The sending module is used for sending the auxiliary diagnosis function request to the interactive equipment so that the interactive equipment can switch the corresponding auxiliary diagnosis function according to the auxiliary diagnosis function request; the switching is the switching of a plurality of auxiliary diagnosis functions in an endoscope auxiliary diagnosis system of a plurality of organs or a plurality of disease areas arranged in the system;
Wherein the identification module is further to: based on the preset corresponding relation between the auxiliary diagnosis organ identification images and the auxiliary diagnosis function requests, the auxiliary diagnosis function requests are determined according to the auxiliary diagnosis organ identification images, and the auxiliary diagnosis function requests are automatically generated.
8. A switching device, comprising:
A memory for storing a computer program;
Processor for implementing the steps of the handover method according to any of claims 1 to 6 when executing said computer program.
9. A computer readable storage medium, characterized in that the computer readable storage medium has stored thereon a computer program which, when executed by a processor, implements the steps of the handover method according to any of claims 1 to 6.
10. A switching system, comprising:
The switching device and interaction device of claim 8;
the interaction equipment is used for switching corresponding auxiliary diagnosis functions according to the auxiliary diagnosis function request.
CN202011383173.8A 2020-12-01 2020-12-01 Switching method, device, equipment, medium and system Active CN112435735B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011383173.8A CN112435735B (en) 2020-12-01 2020-12-01 Switching method, device, equipment, medium and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011383173.8A CN112435735B (en) 2020-12-01 2020-12-01 Switching method, device, equipment, medium and system

Publications (2)

Publication Number Publication Date
CN112435735A CN112435735A (en) 2021-03-02
CN112435735B true CN112435735B (en) 2024-07-05

Family

ID=74699071

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011383173.8A Active CN112435735B (en) 2020-12-01 2020-12-01 Switching method, device, equipment, medium and system

Country Status (1)

Country Link
CN (1) CN112435735B (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113077446A (en) * 2021-04-02 2021-07-06 重庆金山医疗器械有限公司 Interaction method, device, equipment and medium

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110136106A (en) * 2019-05-06 2019-08-16 腾讯科技（深圳）有限公司 Recognition methods, system, equipment and the endoscopic images system of medical endoscope image
CN111276259A (en) * 2018-12-04 2020-06-12 阿里巴巴集团控股有限公司 Service determination, network interaction, classification method, client, server and medium

Family Cites Families (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104992715A (en) * 2015-05-18 2015-10-21 百度在线网络技术（北京）有限公司 Interface switching method and system of intelligent device
CN108324246B (en) * 2018-01-19 2021-06-22 上海联影医疗科技股份有限公司 Medical diagnosis assisting system and method
CN110265122B (en) * 2019-06-20 2024-08-16 深圳开立生物医疗科技股份有限公司 Image processing method, device, equipment and storage medium based on endoscope system
CN110266892B (en) * 2019-06-28 2022-04-15 腾讯科技（深圳）有限公司 Interaction method, interaction device, storage medium, terminal back shell and terminal
CN110634564B (en) * 2019-09-16 2023-01-06 腾讯科技（深圳）有限公司 Pathological information processing method, device and system, electronic equipment and storage medium
CN110866465A (en) * 2019-10-29 2020-03-06 维沃移动通信有限公司 Control method of electronic equipment and electronic equipment
CN110772210B (en) * 2019-11-08 2022-09-20 重庆金山医疗技术研究院有限公司 Diagnosis interaction system and method

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111276259A (en) * 2018-12-04 2020-06-12 阿里巴巴集团控股有限公司 Service determination, network interaction, classification method, client, server and medium
CN110136106A (en) * 2019-05-06 2019-08-16 腾讯科技（深圳）有限公司 Recognition methods, system, equipment and the endoscopic images system of medical endoscope image

Also Published As

Publication number Publication date
CN112435735A (en) 2021-03-02

Similar Documents

Publication Publication Date Title
US12106394B2 (en) Medical image processing apparatus, processor device, endoscope system, medical image processing method, and program
JP6949999B2 (en) Image processing equipment, endoscopic systems, image processing methods, programs and recording media
EP3795062A1 (en) Endoscope device, endoscope operation method, and program
EP4437931A1 (en) Surgery assisting system, surgery assisting method, and surgery assisting program
US11890139B2 (en) Portable ultrasound systems
JP7345023B2 (en) endoscope system
CN112435735B (en) Switching method, device, equipment, medium and system
CN113077446A (en) Interaction method, device, equipment and medium
KR20120008292A (en) Virtual arthroscope surgery system
CN113842166B (en) Ultrasonic image acquisition method based on ultrasonic image equipment and related device
CN211409025U (en) Cardiovascular multi-modal fusion analysis device
CN110772210A (en) Diagnosis interaction system and method
JP4464526B2 (en) Endoscope operation system
JP7214876B2 (en) Endoscope device, control method, control program, and endoscope system
CN212012840U (en) Dazzle medical endoscope camera system of image
CN213129393U (en) AI minimally invasive diagnosis medical endoscope camera system
WO2024121886A1 (en) Endoscopic examination assistance device, endoscopic examination assistance method, and recording medium
WO2024166731A1 (en) Image processing device, endoscope, image processing method, and program
JP7148193B1 (en) Surgery support system, surgery support method, and surgery support program
CN212367411U (en) Dyeing separation medical endoscope camera system
EP4302681A1 (en) Medical image processing device, medical image processing method, and program
EP4461203A1 (en) Medical information processing system, medical information processing method, and program
US20240188798A1 (en) Endoscope system, medical information processing apparatus, medical information processing method, medical information processing program, and recording medium
US20240188799A1 (en) Endoscope system, medical information processing apparatus, medical information processing method, medical information processing program, and recording medium
WO2023135815A1 (en) Medical assistance system and medical assistance method

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
TA01 Transfer of patent application right
TA01 Transfer of patent application right

Effective date of registration: 20210816

Address after: 401120 1-1, 2-1, 3-1, building 5, No. 18, Cuiping Lane 2, Huixing street, Yubei District, Chongqing

Applicant after: Chongqing Jinshan Medical Technology Research Institute Co.,Ltd.

Address before: 401120 1 office buildings, Jinshan International Industrial City, 18 of Nei sang Road, Hui Xing street, Yubei District, Chongqing.

Applicant before: CHONGQING JINSHAN MEDICAL APPLIANCE Co.,Ltd.

GR01 Patent grant
GR01 Patent grant