Devika et al., 2025 - Google Patents
Automated Eye Disease Detection Using OCT ImagesDevika et al., 2025
- Document ID
- 5878986874085882003
- Author
- Devika N
- Jnana Iswarya B
- Sai Priyanka B
- Radha G
- Gayathri A
- Publication year
- Publication venue
- International Conference on Smart Computing and Informatics
External Links
Snippet
The condition of the human retina is essential for detecting eye conditions that can cause blindness if left untreated, such as Choroidal Neovascularization (CNV), Diabetic Macular Edema (DME) and Drusen. By clearly displaying the anatomy of the retina, the analysis of …
Classifications
-
- 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
- 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
- G06F19/322—Management of patient personal data, e.g. patient records, conversion of records or privacy aspects
-
- 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
- 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
- G06Q50/01—Social networking
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- 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
- 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
-
- 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
-
- 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
- G06Q10/00—Administration; Management
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computer systems utilising knowledge based models
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F21/00—Security arrangements for protecting computers, components thereof, programs or data against unauthorised activity
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T11/00—2D [Two Dimensional] image generation
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| He et al. | An interpretable transformer network for the retinal disease classification using optical coherence tomography | |
| Das et al. | Distributed machine learning cloud teleophthalmology IoT for predicting AMD disease progression | |
| Camara et al. | Literature review on artificial intelligence methods for glaucoma screening, segmentation, and classification | |
| Abd El-Khalek et al. | A concentrated machine learning-based classification system for age-related macular degeneration (AMD) diagnosis using fundus images | |
| Hao et al. | Early detection of dementia through retinal imaging and trustworthy AI | |
| Narayanaswamy et al. | Scientific discovery by generating counterfactuals using image translation | |
| Kurilová et al. | Support vector machine and deep-learning object detection for localisation of hard exudates | |
| Wang et al. | Enhancing diagnostic accuracy in rare and common fundus diseases with a knowledge-rich vision-language model | |
| Linde et al. | A comparative evaluation of deep learning approaches for ophthalmology | |
| Sushith et al. | A hybrid deep learning framework for early detection of diabetic retinopathy using retinal fundus images | |
| Matten et al. | Multiple instance learning based classification of diabetic retinopathy in weakly-labeled widefield OCTA en face images | |
| Wang et al. | Automated segmentation and feature discovery of age-related macular degeneration and Stargardt disease via self-attended neural networks | |
| Jabbar et al. | A retinal detachment based strabismus detection through FEDCNN | |
| Aanjankumar et al. | Prediction of malnutrition in kids by integrating ResNet-50-based deep learning technique using facial images | |
| Batool et al. | Deploying efficient net batch normalizations (BNs) for grading diabetic retinopathy severity levels from fundus images | |
| Sigut et al. | In-depth evaluation of saliency maps for interpreting convolutional neural network decisions in the diagnosis of glaucoma based on fundus imaging | |
| Yuksel Elgin | Democratizing Glaucoma Care: A Framework for AI‐Driven Progression Prediction Across Diverse Healthcare Settings | |
| Zheng et al. | Development and validation of deep learning algorithms for automated eye laterality detection with anterior segment photography | |
| Shukla | Utilizing cloud services for advanced e-health applications, enhancing diagnostics and treatment through vertex ai and vision api | |
| Jumani et al. | Cloud and machine learning based solutions for healthcare and prevention | |
| Kumar et al. | A lightweight YOLO model for detection of disease from optic disc region of eye fundus imagery | |
| Liu et al. | Generative adversarial networks to predict treatment response for neovascular age-related macular degeneration: interesting, but is it useful? | |
| Sridhar et al. | Artificial intelligence in medicine: diabetes as a model | |
| Jones et al. | Diagnosing cataracts in the digital age: a survey on AI, Metaverse, and digital twin applications | |
| Devika et al. | Automated Eye Disease Detection Using OCT Images |