Project Title
AI-Powered Early Detection of Diabetic Retinopathy
AI-Powered Early Detection of Diabetic Retinopathy
Category
Physics
Physics
Short Description
An AI-driven system for early diagnosis of diabetic retinopathy using retinal imaging.
An AI-driven system for early diagnosis of diabetic retinopathy using retinal imaging.
Long Description
This project utilizes deep learning techniques to analyze retinal fundus images for early detection of diabetic retinopathy (DR), a leading cause of blindness. The model is trained on a large dataset of labeled images and can assist ophthalmologists by providing accurate, real-time diagnostic support. It significantly reduces the workload on medical professionals and improves early intervention rates for patients.
This project utilizes deep learning techniques to analyze retinal fundus images for early detection of diabetic retinopathy (DR), a leading cause of blindness. The model is trained on a large dataset of labeled images and can assist ophthalmologists by providing accurate, real-time diagnostic support. It significantly reduces the workload on medical professionals and improves early intervention rates for patients.
Potential Applications
Hospitals, Eye care clinics, Telemedicine platforms, Health screening programs, Remote diagnostics in rural areas
Hospitals, Eye care clinics, Telemedicine platforms, Health screening programs, Remote diagnostics in rural areas
Keywords
First Choice
First Choice