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A newer version of the Gradio SDK is available: 6.22.0

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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