Medical Image Segmentation on ISICDM 2019
96.07Average DSCSMAFormer
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| SMAFormer2024.08 | 96.07 | 94.67 | 98.57 | 93.56 | |
| TransUNet2024.08 | 94.56 | 93.6 | 97.74 | 91.38 | |
| nnFormer2024.08 | 93.54 | 89.11 | 96.97 | 90.41 | |
| Swin UNETR2024.08 | 92.6 | 90.61 | 95.08 | 90.12 | |
| SwinUNet2024.08 | 91.95 | 89.77 | 94.73 | 89.17 | |
| UNETR2024.08 | 91.55 | 88.34 | 94.83 | 88.26 | |
| ResT-V2-BConfig=Base2024.08 | 89.26 | 82.13 | 93.01 | 85.5 | |
| R50-ViT+CUPBackbone=ResNet-502024.08 | 88.77 | 85.62 | 92.05 | 85.49 | |
| ViT+CUP2024.08 | 88.6 | 84.4 | 91.88 | 85.32 | |
| ResUNet++2024.08 | 87.11 | 83.78 | 89.9 | 84.32 |