Retinal Vessel Segmentation On Uzlf
평가 지표
Average Dice (0.5*Dice_a + 0.5*Dice_v)
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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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