souravs17031999/Retinal_blindness_detection_Pytorch

AI-driven initiative to assist hospitals and rural clinics in early detection of Diabetic Retinopathy, supporting accessible eye care for all through open healthcare innovation.

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This project helps medical professionals like ophthalmologists, general practitioners, or clinic staff quickly screen patients for Diabetic Retinopathy. You input a retinal fundus image, and the system outputs a classification of the image's severity level, from no DR to proliferative DR. This allows for early detection and helps prioritize patients for treatment, especially in areas with limited access to eye care specialists.

No commits in the last 6 months.

Use this if you are a healthcare provider in a hospital, rural clinic, or diagnostic center looking for an automated tool to assist with early-stage Diabetic Retinopathy screening.

Not ideal if you require a certified medical diagnostic tool or if strict patient data privacy (e.g., federated learning, secure multi-party computation) is a primary requirement without further development.

Diabetic Retinopathy screening ophthalmology telemedicine medical imaging analysis public health
No License Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 9 / 25
Maturity 8 / 25
Community 21 / 25

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Last pushed

Oct 06, 2025

Commits (30d)

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