Retinal Vessel Segmentation on HRF
0.8309mIoUFSG-Net
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| FSG-NetArchitecture=FSG-Net (ours)2025.01 | 0.8309 | 0.8157 | 0.9711 | 0.9874 | 0.8362 | 0.8012 | — | |
| FSG-NetArchitecture=FSG-Net2025.01 | 0.8309 | 0.8157 | 0.9711 | 0.9874 | 0.8362 | 0.8012 | 1.6 | |
| AttU-NetArchitecture=AttU-Net2025.01 | 0.8302 | 0.8145 | 0.9711 | 0.9856 | 0.8283 | 0.8 | 2.8 | |
| ConvU-NeXtArchitecture=ConvU-NeXt2025.01 | 0.8302 | 0.8142 | 0.9712 | 0.9853 | 0.8252 | 0.7997 | 4 | |
| U-Net3+ DeepArchitecture=U-Net3+ Deep2025.01 | 0.8301 | 0.8145 | 0.9712 | 0.9843 | 0.8244 | 0.8 | 4.4 | |
| DCASU-NetArchitecture=DCASU-Net2025.01 | 0.8294 | 0.7134 | 0.9711 | 0.985 | 0.8238 | 0.7988 | 7.3 | |
| ResU-NetArchitecture=ResU-Net2025.01 | 0.8291 | 0.813 | 0.971 | 0.9842 | 0.8248 | 0.7984 | 7 | |
| U-Net++Architecture=U-Net++2025.01 | 0.8265 | 0.81 | 0.9704 | 0.9845 | 0.824 | 0.7952 | 7.8 | |
| FR-UNetArchitecture=FR-UNet2025.01 | 0.8243 | 0.8071 | 0.9701 | 0.9829 | 0.8168 | 0.7922 | 9.7 | |
| U-NetArchitecture=U-Net2025.01 | 0.8229 | 0.8133 | 0.9709 | 0.9857 | 0.8276 | 0.7987 | 4.8 | |
| AG-NetArchitecture=AG-Net2025.01 | 0.8225 | 0.8047 | 0.9696 | 0.9857 | 0.8181 | 0.7895 | 8.7 | |
| HRNetArchitecture=HRNet2025.01 | 0.8207 | 0.8023 | 0.9694 | 0.9856 | 0.8096 | 0.7867 | 9.8 | |
| SAU-NetArchitecture=SAU-Net2025.01 | 0.8202 | 0.8017 | 0.9689 | 0.9854 | 0.822 | 0.7862 | 10.3 | |
| R2U-NetArchitecture=R2U-Net2025.01 | 0.81 | 0.787 | 0.9681 | 0.9698 | 0.7723 | 0.7712 | 12.8 | |
| SwinArchitecture=Swin2025.01 | 0.7874 | 0.7477 | 0.9742 | 0.9802 | 0.7483 | 0.7355 | — | |
| ResU-Net++Architecture=ResU-Net++2025.01 | 0.7701 | 0.731 | 0.9603 | 0.9531 | 0.7059 | 0.7125 | 13.8 | |
| MaxViTResolution=512, Architecture=MaxViT-5122025.01 | 0.7498 | 0.7062 | 0.9535 | 0.9865 | 0.726 | 0.682 | — |