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Artery/Veins Retinal Vessel Segmentation 벤치마크

Artery/Veins Retinal Vessel Segmentation on UZLF

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Average Dice (0.5*Dice_a + 0.5*Dice_v)

60.9 66.47 72.05 77.62 83.2 2023-09 2026-09 LUNet — 83.2 (2023-09-11) Junior Ophtalmologist — 82.6 (2023-09-11) LUNet — 83.2 (2023-09-11) Junior Ophtalmologist — 82.6 (2023-09-11) VascX — 80.6 (2024-09-24) Automorph — 74.0 (2024-09-24) Little W-Net — 60.9 (2024-09-24) VascX — 80.6 (2024-09-24) Automorph — 74.0 (2024-09-24) Little W-Net — 60.9 (2024-09-24) LUNet — 83.2 (2023-09-11)
RankModel Average Dice (0.5*Dice_a + 0.5*Dice_v) PaperCodeYear
1 LUNet 83.2 LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images aim-lab/LUNet 2023
2 Junior Ophtalmologist 82.6 LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images aim-lab/LUNet 2023
3 VascX 80.6 VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images eyened/rtnls_vascx_models 2024
4 Automorph 74.0 VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images eyened/rtnls_vascx_models 2024
5 Little W-Net 60.9 VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images eyened/rtnls_vascx_models 2024
6 LUNet 83.2 LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images aim-lab/LUNet 2023
7 Junior Ophtalmologist 82.6 LUNet: Deep Learning for the Segmentation of Arterioles and Venules in High Resolution Fundus Images aim-lab/LUNet 2023
8 VascX 80.6 VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images eyened/rtnls_vascx_models 2024
9 Automorph 74.0 VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images eyened/rtnls_vascx_models 2024
10 Little W-Net 60.9 VascX Models: Model Ensembles for Retinal Vascular Analysis from Color Fundus Images eyened/rtnls_vascx_models 2024
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