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Vessel Segmentation on BlaVeS (test)

0.94AccuracySwin-UNet
0.91920.92460.930.9354Feb 10, 2026

Evaluation results

MethodLinks
Swin-UNetType=Swin + U-Net2026.020.940.450.30.570.380.33
SA-UNetType=Retinal SOTA2026.020.940.620.450.580.670.49
HACType=ViT+CNN2026.020.940.60.430.610.590.66
U-NetType=Baseline CNN2026.020.930.580.410.470.750.3
UNet++Type=+ Dense skip2026.020.920.570.40.450.80.22