Colorectal Histopathology Segmentation on GlaS MICCAI 2015 (test A)
92.96AccuracySAGE-ConvNeXt+ViT-UNet
Evaluation Results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| SAGE-ConvNeXt+ViT-UNet2025.11 | 92.96 | 86.62 | 92.78 | 19.85 | 77.91 | 73.49 | |
| EViT-UNet2025.11 | 92.7 | 86.15 | 92.56 | 21.82 | 76.54 | 73.26 | |
| TransUNet2025.11 | 91.26 | 83.72 | 91.14 | 23.46 | 63.62 | 67.33 | |
| TransAttUNet2025.11 | 91.18 | 83.69 | 91.12 | 24.51 | 72.13 | 66.65 | |
| SegFormer2025.11 | 91.09 | 83.31 | 90.89 | 20.72 | 61.65 | 53.72 | |
| Attention U-Net2025.11 | 90.53 | 82.43 | 90.37 | 65.6 | 45.95 | 59.03 | |
| SelfReg-UNet2025.11 | 89.36 | 80.34 | 89.1 | 28.57 | 65.82 | 47.17 | |
| CAC-UNet2025.11 | 88.01 | 78.34 | 87.85 | 31.7 | 64.29 | 53.81 | |
| ConvUNeXt2025.11 | 87.68 | 77.61 | 87.39 | 28.7 | 62.8 | 45.6 | |
| UCTransNet2025.11 | 87.07 | 76.47 | 86.66 | 29.23 | 62.97 | 49.38 |