Fundus DR Grading

Description

This project aims to evaluate the performance of different models for the classification of diabetic retinopathy (DR) in fundus images. The reported perfomance metrics are not always consistent in the literature. Our goal is to provide a fair comparison between different models using the same datasets and evaluation protocol.

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Safetensors

Model size

49.5M params

Tensor type

F32

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Evaluation results

Quadratic Kappa on EYEPACS
self-reported

0.789
Quadratic Kappa on IDRID
self-reported

0.759
Quadratic Kappa on DDR
self-reported

0.804

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