Medical Image Segmentation on LiTS 2017
94.11Average DSCSMAFormer
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SMAFormer2024.08 | 94.11 | 91.94 | 95.88 | 92.34 | |
| TransUNet2024.08 | 93.28 | 90.81 | 95.54 | 91.03 | |
| Swin UNETR2024.08 | 91.95 | 90.02 | 94.73 | 89.17 | |
| nnFormer2024.08 | 91.74 | 89.95 | 94.57 | 88.91 | |
| SwinUNet2024.08 | 89.68 | 86.62 | 93.31 | 86.04 | |
| UNETR2024.08 | 89.38 | 87.46 | 92.89 | 85.86 | |
| R50-ViT+CUPBackbone=ResNet-502024.08 | 82.62 | 79.68 | 85.83 | 79.41 | |
| ViT+CUP2024.08 | 80.33 | 77.25 | 83.97 | 76.69 | |
| ResT-V2-BConfig=Base2024.08 | 78.53 | 75.24 | 81.22 | 75.83 | |
| ResUNet++2024.08 | 75.73 | 74.19 | 79.12 | 72.34 |