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Diabetic Retinopathy Grading On Kaggle
Metrics
AUC
Results
Performance results of various models on this benchmark
| Paper Title | Repository | ||
|---|---|---|---|
| IncRes-v2-FTCDW | 0.986 | Explainable end-to-end deep learning for diabetic retinopathy detection across multiple datasets | - |
| InceptionV3 Ensemble | 0.951 | Reproduction study using public data of: Development and validation of a deep learning algorithm for detection of diabetic retinopathy in retinal fundus photographs | - |
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