Medical Image Segmentation on Amos 22 (test)
89.06DSCVoCo
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| VoCo2024.02 | 89.06 | 78.86 | — | — | |
| SwinUNETRSource=Drawn from previous papers2024.02 | 88 | 76.15 | — | — | |
| FocalUNETR-B*Model Scale=B, Auxiliary contour regression task=true2022.10 | 83.79 | — | 8.31 | 2.71 | |
| FocalUNETR-BModel Scale=B, Auxiliary contour regression task=false2022.10 | 83.61 | — | 8.32 | 2.76 | |
| nnUNetAuxiliary contour regression task=false2022.10 | 83.56 | — | 8.36 | 2.65 | |
| UNet++Dimensionality=2D, Auxiliary contour regression task=false2022.10 | 83.51 | — | 8.47 | 2.81 | |
| AttUNetDimensionality=2D, Auxiliary contour regression task=false2022.10 | 83.47 | — | 8.43 | 2.83 | |
| U-NetDimensionality=2D, Auxiliary contour regression task=false2022.10 | 83.42 | — | 8.51 | 2.79 | |
| Swin-UNetDimensionality=2D, Pre-trained on ImageNet=true, Auxiliary contour regression task=false2022.10 | 83.35 | — | 8.61 | 3.2 | |
| SwinUNETR (3D)Dimensionality=3D, Auxiliary contour regression task=false2022.10 | 83.32 | — | 8.63 | 3.21 | |
| U-Net (3D)Dimensionality=3D, Auxiliary contour regression task=false2022.10 | 83.25 | — | 8.43 | 2.86 | |
| FocalUNETR-S*Model Scale=S, Auxiliary contour regression task=true2022.10 | 83.24 | — | 8.57 | 3.04 | |
| FocalUNETR-SModel Scale=S, Auxiliary contour regression task=false2022.10 | 82.21 | — | 8.73 | 3.46 | |
| TransUNetDimensionality=2D, Pre-trained on ImageNet=true, Auxiliary contour regression task=false2022.10 | 81.13 | — | 9.32 | 3.71 | |
| UNETR (3D)Dimensionality=3D, Auxiliary contour regression task=false2022.10 | 81.09 | — | 8.91 | 3.62 | |
| V-Net (3D)Dimensionality=3D, Auxiliary contour regression task=false2022.10 | 81.02 | — | 9.01 | 3.76 |