rsk97/Diabetic-Retinopathy-Detection
DIAGNOSIS OF DIABETIC RETINOPATHY FROM FUNDUS IMAGES USING SVM, KNN, and attention-based CNN models with GradCam score for interpretability,
This project helps eye care professionals and diabetologists quickly assess retinal fundus images for signs of diabetic retinopathy. It takes images of a patient's retina and provides an automated diagnosis, highlighting areas of concern. It is designed for medical practitioners involved in diabetes management and eye health.
136 stars. No commits in the last 6 months.
Use this if you need an automated, interpretable tool to help screen fundus images for diabetic retinopathy.
Not ideal if you require a final, definitive medical diagnosis without expert human oversight, as this is an assistive tool.
Stars
136
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73
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Sep 02, 2023
Commits (30d)
0
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