ResearchBenchmarksVessel Segmentation on BlaVeS (test)Follow0.94AccuracySwin-UNet0.91920.92460.930.9354Feb 10, 2026Evaluation ResultsMethodMethodLinksAccuracyDicemIoUPrecisionRecallclDiceSwin-UNetType=Swin + U-NetType=Swin + U-Net2026.020.940.450.30.570.380.33SA-UNetType=Retinal SOTAType=Retinal SOTA2026.020.940.620.450.580.670.49HACType=ViT+CNNType=ViT+CNN2026.020.940.60.430.610.590.66U-NetType=Baseline CNNType=Baseline CNN2026.020.930.580.410.470.750.3UNet++Type=+ Dense skipType=+ Dense skip2026.020.920.570.40.450.80.22