Sohambasu07/DR_2021
Diabetic Retinopathy Feature Extraction and Binary Diagnosis
This project helps ophthalmologists and medical researchers analyze digital retinal fundus images for signs of Diabetic Retinopathy (DR). It takes a fundus image as input and automatically identifies key features like blood vessels, optic disc location, and exudates. The output is an analysis of these features and a binary diagnosis indicating the presence or absence of DR.
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Use this if you need an automated tool to assist in the early detection and diagnosis of Diabetic Retinopathy from fundus images.
Not ideal if you require a comprehensive diagnosis for all retinal diseases or if you need to classify severity beyond a simple binary DR positive/negative.
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21
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11
Language
Jupyter Notebook
License
MIT
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Last pushed
Nov 01, 2024
Commits (30d)
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