Colorectal Histopathology Segmentation on GlaS MICCAI 2015 (test B)
91.55AccuracySAGE-ConvNeXt+ViT-UNet
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SAGE-ConvNeXt+ViT-UNet2025.11 | 91.55 | 84.56 | 91.42 | 17.94 | 70.23 | 66.67 | |
| TransAttUNet2025.11 | 89.87 | 83.78 | 91.18 | 22.41 | 64.27 | 60.86 | |
| EViT-UNet2025.11 | 89.61 | 83.62 | 91.08 | 21.24 | 65.62 | 63.24 | |
| ConvUNeXt2025.11 | 88.05 | 81.16 | 89.6 | 20.46 | 60.58 | 42.96 | |
| Attention U-Net2025.11 | 87.57 | 80.29 | 89.07 | 56.51 | 38.87 | 54.77 | |
| SegFormer2025.11 | 87.47 | 80.45 | 89.16 | 23.6 | 55.95 | 51.54 | |
| TransUNet2025.11 | 87.3 | 79.98 | 88.87 | 22.77 | 55.63 | 63.56 | |
| SelfReg-UNet2025.11 | 86.21 | 77.93 | 87.6 | 26.33 | 59.95 | 40.16 | |
| CAC-UNet2025.11 | 85.69 | 77.52 | 87.33 | 27.87 | 58.11 | 46.02 | |
| UCTransNet2025.11 | 85.45 | 77.14 | 87.1 | 26.66 | 58.51 | 58 |