Retinal Vessel Segmentation On Uzlf
Metrics
Average Dice (0.5*Dice_a + 0.5*Dice_v)
Results
Performance results of various models on this benchmark
Model Name | Average Dice (0.5*Dice_a + 0.5*Dice_v) | Paper Title | Repository |
|---|---|---|---|
| Little W-Net | 60.9 | VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images | |
| Junior Ophtalmologist | 82.6 | LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images | |
| LUNet | 83.2 | LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images | |
| VascX | 80.6 | VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images | |
| Automorph | 74.0 | VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images |
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