ramanakshay/diabetic-retinopathy-detection
Diabetic retinopathy detection using deep learning
This project helps ophthalmologists and optometrists quickly screen patients for diabetic retinopathy (DR) by analyzing retinal images. You input a patient's retinal scan, and the system outputs a classification indicating the presence or absence of DR. This tool is designed for eye care professionals looking to streamline early detection of this diabetes complication.
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Use this if you are an ophthalmologist, optometrist, or medical imaging specialist seeking an automated tool to identify diabetic retinopathy from retinal scans.
Not ideal if you need a diagnostic tool that provides specific lesion grading or severity levels beyond a binary 'DR vs. No DR' classification.
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Jun 27, 2021
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