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ClementP
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FundusDRGrading-resnext50_32x4d.tv2_in1k

Transformers
PyTorch
Safetensors
English
fundus
diabetic retinopathy
classification
Eval Results
Inference Endpoints
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FundusDRGrading-resnext50_32x4d.tv2_in1k / README.md
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metadata
language: en
license: mit
tags:
  - fundus
  - diabetic retinopathy
  - classification
datasets:
  - APTOS
  - EYEPACS
  - IDRID
  - DDR
library: timm
model-index:
  - name: resnext50_32x4d.tv2_in1k
    results: []

Fundus DR Grading

Rye PyTorch Lightning

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.