A newer version of the Gradio SDK is available: 6.22.0
metadata
title: >-
AI-Powered Diabetic Retinopathy Grading System from Retinal Fundus Images
Using Deep Learning
emoji: 👁️
colorFrom: blue
colorTo: indigo
sdk: gradio
sdk_version: 5.29.0
app_file: app.py
pinned: false
license: mit
Diabetic Retinopathy Grading AI (v9)
An AI-powered clinical diagnostic tool for grading Diabetic Retinopathy from retinal fundus photographs. Powered by our latest v9 training phase.
Performance Metrics (v9)
- Validation QWK: 0.9167
- Test QWK: 0.8954
- Binary Referable-DR Accuracy: 91.92%
- Test AUROC (macro): 0.8885
Features
- 5-Grade ICDR Classification using EfficientNetV2-M + CORAL ordinal regression
- Grad-CAM++ Visual Explanations highlighting lesion regions
- Fundus Gating — rejects non-retinal images automatically
- 4-View TTA (Test-Time Augmentation) for improved robustness
- Premium Material Design 3 UI with real-time processing metrics