Medical Image Segmentation on MP-MRI
94.93DSCCASTformer
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| CASTformer2022.01 | 94.93 | 87.81 | 8.29 | 3.02 | |
| CATformer2022.01 | 94.17 | 86.5 | 6.55 | 3.33 | |
| SETR2022.01 | 92.39 | 85.89 | 7.66 | 3.79 | |
| TransUNet2022.01 | 92.08 | 85.36 | 23.17 | 6.03 | |
| SwinUNet2022.01 | 92.07 | 85.32 | 7.62 | 3.88 | |
| ResNet50 + UNetEncoder=ResNet50, Decoder=UNet2022.01 | 91.51 | 84.39 | 15.38 | 4.53 | |
| ResNet50 + AttnUNetEncoder=ResNet50, Decoder=AttnUNet2022.01 | 91.43 | 84.24 | 14.14 | 4.24 | |
| CoTr2022.01 | 90.06 | 81.94 | 28.91 | 7.89 | |
| AttnUNet2022.01 | 89.79 | 81.51 | 30.13 | 7.85 | |
| UNet2022.01 | 88.38 | 79.42 | 38.23 | 11.14 | |
| CoTr w/o CNN-encoderCNN-encoder=false2022.01 | 85.21 | 74.49 | 44.25 | 12.58 |