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

Sugimori, 2018 - Google Patents

Classification of computed tomography images in different slice positions using deep learning

Sugimori, 2018

View PDF @Full View
Document ID
2122126401976763968
Author
Sugimori H
Publication year
Publication venue
Journal of healthcare engineering

External Links

Snippet

This study aimed at elucidating the relationship between the number of computed tomography (CT) images, including data concerning the accuracy of models and contrast enhancement for classifying the images. We enrolled 1539 patients who underwent contrast …
Continue reading at onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/321Management of medical image data, e.g. communication or archiving systems such as picture archiving and communication systems [PACS] or related medical protocols such as digital imaging and communications in medicine protocol [DICOM]; Editing of medical image data, e.g. adding diagnosis information
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/32Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
    • G06F19/322Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/30Subject of image; Context of image processing
    • G06T2207/30004Biomedical image processing
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/30Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
    • G06F19/34Computer-assisted medical diagnosis or treatment, e.g. computerised prescription or delivery of medication or diets, computerised local control of medical devices, medical expert systems or telemedicine
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T2207/00Indexing scheme for image analysis or image enhancement
    • G06T2207/10Image acquisition modality
    • G06T2207/10072Tomographic images
    • G06T2207/10084Hybrid tomography; Concurrent acquisition with multiple different tomographic modalities
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/22Health care, e.g. hospitals; Social work
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00Image analysis
    • G06T7/0002Inspection of images, e.g. flaw detection
    • G06T7/0012Biomedical image inspection
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06TIMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/002D [Two Dimensional] image generation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Sugimori Classification of computed tomography images in different slice positions using deep learning
England et al. Artificial intelligence for medical image analysis: a guide for authors and reviewers
Dangi et al. A distance map regularized CNN for cardiac cine MR image segmentation
Bernard et al. Deep learning techniques for automatic MRI cardiac multi-structures segmentation and diagnosis: is the problem solved?
Andriole et al. Optimizing analysis, visualization, and navigation of large image data sets: one 5000-section CT scan can ruin your whole day
Arimura et al. Computerized detection of intracranial aneurysms for three‐dimensional MR angiography: Feature extraction of small protrusions based on a shape‐based difference image technique
Koshino et al. Narrative review of generative adversarial networks in medical and molecular imaging
Tan et al. Automated vessel segmentation in lung CT and CTA images via deep neural networks
CN113506310A (en) Medical image processing method and device, electronic equipment and storage medium
Rubin et al. Biomedical imaging informatics
CN106462661A (en) A system and a related method for automatically selecting a hanging protocol for a medical study
Woo et al. A spatio-temporal atlas and statistical model of the tongue during speech from cine-MRI
Babarenda Gamage et al. An automated computational biomechanics workflow for improving breast cancer diagnosis and treatment
Egger et al. Vertebral body segmentation with GrowCut: Initial experience, workflow and practical application
Gaweł et al. Automatic spine tissue segmentation from MRI data based on cascade of boosted classifiers and active appearance model
Bambach et al. Deep learning for synthetic CT from bone MRI in the head and neck
Išgum et al. Automated aortic calcium scoring on low‐dose chest computed tomography
Spagnolo et al. How far MS lesion detection and segmentation are integrated into the clinical workflow? A systematic review
Bhushan Liver cancer detection using hybrid approach-based convolutional neural network (HABCNN)
Yeasmin et al. Advances of AI in image-based computer-aided diagnosis: A review
Anand et al. Automated classification of intravenous contrast enhancement phase of ct scans using residual networks
Raffy et al. Deep learning body region classification of MRI and CT examinations
Zreik et al. Combined analysis of coronary arteries and the left ventricular myocardium in cardiac CT angiography for detection of patients with functionally significant stenosis
Ning et al. DRAN: Deep recurrent adversarial network for automated pancreassegmentation
Somasundaram et al. Fetal brain extraction from magnetic resonance image (MRI) of human fetus