Diabetic Retinopathy Grading on Messidor-2, IDRiD, Kaggle and local dataset (train)
98.6AccuracyJagan Mohan et al.
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Jagan Mohan et al.Learning Model=Classical, FL, Learnable Parameters=968005, Objective=A FL based approach to grade diabetic retinopathy from 0 to 4, Pre-processing=CLAHE, Entropy enhancement methods2026.05 | 98.6 | 97.25 | — | 97.5 |