MN staging classification on MN staging dataset
72.69AccuracyCMUS-Net
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| CMUS-NetType=Cross-modal scale2025.12 | 72.69 | 88.29 | 74.17 | 69.21 | 84.6 | 69.61 | — | |
| DenseNet-121Type=Unimodal2025.12 | 68.08 | 81.44 | 66.34 | 66.63 | 68.12 | 65.4 | 0.001 | |
| VGG16Type=Unimodal2025.12 | 65.78 | 80.8 | 72.6 | 62.57 | 65.16 | 65.95 | 0.002 | |
| CrossViTType=Unimodal multi-scale2025.12 | 65.77 | 82.45 | 65.99 | 59.38 | 70.83 | 60.01 | 0.007 | |
| Res2Net-50Type=Unimodal multi-scale2025.12 | 63.46 | 79.13 | 62.69 | 61.02 | 58.45 | 59.92 | 0.003 | |
| MDL-IIAType=Multi-modal2025.12 | 61.15 | 77.03 | 63.87 | 53.8 | 57.86 | 52.71 | 0 | |
| SwinT-BType=Unimodal multi-scale2025.12 | 60 | 79.55 | 58.13 | 55.2 | 68.4 | 54.77 | 0.001 | |
| MSANType=Multi-modal multi-scale2025.12 | 59.62 | 73.46 | 55.54 | 55.7 | 70.76 | 52.71 | 0.001 | |
| mmFormerType=Multi-modal2025.12 | 56.92 | 67.8 | 48.34 | 50.42 | 88.68 | 47.53 | 0 | |
| InceptionV3Type=Unimodal multi-scale2025.12 | 55.77 | 64.49 | 47.11 | 42.03 | 53.4 | 36.22 | 0 | |
| ResNet-50Type=Unimodal2025.12 | 55.38 | 68.83 | 44.28 | 44.33 | 56.63 | 39.02 | 0 | |
| CrossFormer++Type=Unimodal multi-scale2025.12 | 54.23 | 67.07 | 42.36 | 45.83 | 70.33 | 42.61 | 0 | |
| ViT-BType=Unimodal2025.12 | 52.69 | 69.92 | 51 | 49.34 | 64.38 | 47.37 | 0 | |
| AGGNType=Multi-modal multi-scale2025.12 | 52.5 | 64.07 | 37.08 | 39.6 | 65.63 | 34.01 | 0 | |
| FPNType=Unimodal multi-scale2025.12 | 50 | 57.94 | 36.45 | 37.25 | 54.44 | 33.16 | 0 | |
| HiFuseType=Unimodal multi-scale2025.12 | 42.31 | 69.72 | 36.78 | 40.89 | 66.65 | 31.6 | 0 | |
| MMGLType=Multi-modal2025.12 | 35.66 | 47.07 | 19.81 | 28.87 | 66.09 | 21.33 | 0 |