Ozkan et al., 2016 - Google Patents
Research Article A Novel Automatic Rapid Diagnostic Test Reader PlatformOzkan et al., 2016
View PDF- Document ID
- 7758575708860723087
- Author
- Ozkan H
- Kayhan O
- Publication year
External Links
Snippet
A novel automatic Rapid Diagnostic Test (RDT) reader platform is designed to analyze and diagnose target disease by using existing consumer cameras of a laptop-computer or a tablet. The RDT reader is useable with numerous lateral immunochromatographic assays …
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0012—Biomedical image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/32—Medical data management, e.g. systems or protocols for archival or communication of medical images, computerised patient records or computerised general medical references
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F19/00—Digital computing or data processing equipment or methods, specially adapted for specific applications
- G06F19/30—Medical informatics, i.e. computer-based analysis or dissemination of patient or disease data
- G06F19/34—Computer-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
- G06F19/345—Medical expert systems, neural networks or other automated diagnosis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q50/00—Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/22—Health care, e.g. hospitals; Social work
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00127—Acquiring and recognising microscopic objects, e.g. biological cells and cellular parts
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
- G01N33/48—Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US11954851B2 (en) | Image-based disease diagnostics using a mobile device | |
de Haan et al. | Automated screening of sickle cells using a smartphone-based microscope and deep learning | |
US10146909B2 (en) | Image-based disease diagnostics using a mobile device | |
Zhang et al. | Diagnostic method of diabetes based on support vector machine and tongue images | |
Kim et al. | Colorimetric analysis of saliva–alcohol test strips by smartphone-based instruments using machine-learning algorithms | |
Scherr et al. | Mobile phone imaging and cloud-based analysis for standardized malaria detection and reporting | |
Mehanian et al. | Computer-automated malaria diagnosis and quantitation using convolutional neural networks | |
Dacal et al. | Mobile microscopy and telemedicine platform assisted by deep learning for the quantification of Trichuris trichiura infection | |
Park et al. | The design and evaluation of a mobile system for rapid diagnostic test interpretation | |
Ozkan et al. | A novel automatic rapid diagnostic test reader platform | |
CN105027165A (en) | Tissue object-based machine learning system for automated scoring of digital whole slides | |
CN107064079A (en) | For recognizing the hematoblastic method and apparatus in whole blood sample | |
Dell et al. | Mobile tools for point-of-care diagnostics in the developing world | |
CN112102257A (en) | Automatic human body excrement identification method based on convolutional neural network | |
Asif et al. | MozzieNet: A deep learning approach to efficiently detect malaria parasites in blood smear images | |
Asare et al. | Application of machine learning approach for iron deficiency anaemia detection in children using conjunctiva images | |
Wang et al. | Quick leukocyte nucleus segmentation in leukocyte counting | |
CN113424051A (en) | System and method for remote evaluation of sample analysis for disease diagnosis | |
Ozkan et al. | Research Article A Novel Automatic Rapid Diagnostic Test Reader Platform | |
Keino et al. | Quantitative analysis of retinal vascular leakage in retinal vasculitis using machine learning | |
Test et al. | Hindawi Publishing Corporation Computational and Mathematical Methods in Medicine Volume 2016, Article ID 7498217, 10 pages | |
Kumar et al. | Low cost point of care estimation of Hemoglobin levels | |
Whelan et al. | Selective partitioned regression for accurate kidney health monitoring | |
Kishnani et al. | Predictive framework development for user-friendly on-site glucose detection | |
Hoque Tania | An Intelligent Image-based Colourimetric Test Framework for Diagnosis |