Multi-organ segmentation on Synapse
87.98Average DSCU-Mamba
Evaluation Results
| Method | Links | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| U-MambaParams(M)=172.632026.03 | 87.98 | — | — | 90.8 | — | 73.8 | — | 94.6 | — | 94.5 | — | 96.9 | — | 79.3 | — | 95.8 | — | 81.7 | — | |
| nnAvgstrategy=average predictions of nnUNet and nnFormer2021.09 | 87.51 | 7.7 | 5.9 | 93.11 | 8.63 | 72.08 | 18.42 | 86.2 | 8.56 | 87.76 | 1.63 | 97.2 | 3.64 | 84.21 | 9.42 | 91.94 | 5.41 | 87.6 | — | |
| nnUNet2021.09 | 86.99 | 10.78 | 5.91 | 93.01 | 15.19 | 71.77 | 18.6 | 85.57 | 6.44 | 88.18 | 1.62 | 97.23 | 4.52 | 83.01 | 24.34 | 91.86 | 9.58 | 85.26 | — | |
| nnFormer2021.09 | 86.57 | 10.63 | 11.38 | 92.04 | 11.55 | 70.17 | 18.09 | 86.57 | 12.76 | 86.25 | 2 | 96.84 | 3.72 | 83.35 | 16.92 | 90.51 | 8.58 | 86.83 | — | |
| nnFormerParams(M)=150.52026.03 | 86.57 | — | — | 92.04 | — | 70.17 | — | 86.57 | — | 86.25 | — | 96.84 | — | 83.35 | — | 90.51 | — | 86.83 | — | |
| Attention-MambaParam (M)=14.05, FLOPs (G)=6.87, Training Size=224 × 2242024.02 | 85.62 | 24.22 | — | 91.97 | — | 70.23 | — | 87.31 | — | 85.63 | — | 96.27 | — | 78.26 | — | 91.21 | — | 84.1 | 77.84 | |
| Swin UMambaParam (M)=59.89, FLOPs (G)=33.57, Training Size=224 × 2242024.02 | 84.78 | 29.97 | — | 92.11 | — | 65.86 | — | 86.71 | — | 82.65 | — | 95.94 | — | 77.74 | — | 91.08 | — | 86.18 | 76.71 | |
| MulitTransParam (M)=39.38, FLOPs (G)=18.28, Training Size=224 × 2242024.02 | 84.71 | 35.21 | — | 92.2 | — | 65.86 | — | 87.66 | — | 85.94 | — | 94.75 | — | 80.16 | — | 87.63 | — | 83.47 | 76.66 | |
| EM-NetParameters (M)=38.822024.09 | 83.95 | 21.16 | — | 91.24 | — | 71.5 | — | 84.77 | — | 86.88 | — | 96.12 | — | 69.42 | — | 92.75 | — | 78.93 | — | |
| SegMaFormerParams(M)=2.02026.03 | 83.33 | — | — | 89.98 | — | 57.29 | — | 90.49 | — | 90.53 | — | 96.47 | — | 70.57 | — | 93.03 | — | 78.7 | — | |
| DCAU-NetParams (M)=21.56, Flops (G)=4.672026.03 | 83.29 | 15.14 | — | 87.91 | — | 73.09 | — | 88.2 | — | 84.05 | — | 94.98 | — | 63.89 | — | 93.26 | — | 80.94 | — | |
| Swin UNETRParameters (M)=62.192024.09 | 83.06 | 42.09 | — | 90.72 | — | 67.18 | — | 85.85 | — | 86.69 | — | 95.78 | — | 66.92 | — | 92.01 | — | 79.33 | — | |
| HiFormerParam (M)=37.46, FLOPs (G)=17.51, Training Size=224 × 2242024.02 | 83.01 | 32.63 | — | 91.23 | — | 70.23 | — | 85.62 | — | 83.59 | — | 95.85 | — | 70.28 | — | 90.19 | — | 77.12 | 74.59 | |
| U-MambaParameters (M)=58.472024.09 | 82.83 | 27.17 | — | 90.55 | — | 63.98 | — | 85.83 | — | 86.31 | — | 96.22 | — | 68.27 | — | 92.33 | — | 79.18 | — | |
| BRAU-Net++Params (M)=62.63, Flops (G)=17.662026.03 | 82.47 | 19.07 | — | 87.95 | — | 69.1 | — | 87.13 | — | 81.53 | — | 94.71 | — | 65.17 | — | 91.89 | — | 82.26 | — | |
| SegFormer3DParams(M)=4.52026.03 | 82.15 | — | — | 90.43 | — | 55.26 | — | 86.53 | — | 86.13 | — | 95.68 | — | 73.06 | — | 89.02 | — | 81.12 | — | |
| MISSFormerParams (M)=42.46, Flops (G)=9.892026.03 | 81.96 | 18.2 | — | 86.99 | — | 68.65 | — | 85.21 | — | 82 | — | 94.41 | — | 65.67 | — | 91.92 | — | 80.81 | — | |
| MISSFormer2026.03 | 81.96 | — | — | 86.99 | — | 68.65 | — | 85.21 | — | 82 | — | 94.41 | — | 65.67 | — | 91.92 | — | 80.81 | — | |
| Mamba UNetParam (M)=19.12, FLOPs (G)=3.56, Training Size=224 × 2242024.02 | 81.42 | 39.05 | — | 90.49 | — | 65.64 | — | 80.67 | — | 78.19 | — | 95.67 | — | 71.25 | — | 86.76 | — | 82.7 | 72.38 | |
| VM UNet V2Param (M)=22.77, FLOPs (G)=3.41, Training Size=224 × 2242024.02 | 81.4 | 35.37 | — | 89.89 | — | 64.99 | — | 85.75 | — | 81 | — | 95.65 | — | 68.96 | — | 87.76 | — | 77.21 | 72.43 | |
| SegresNetParameters (M)=4.702024.09 | 81.36 | 31.86 | — | 90.48 | — | 61.76 | — | 83.71 | — | 85.07 | — | 95.43 | — | 66.44 | — | 90.4 | — | 77.6 | — | |
| 3D TransUNetParameters (M)=42.982024.09 | 81.34 | 26.5 | — | 91.22 | — | 57.97 | — | 85.75 | — | 85.7 | — | 95.66 | — | 64.62 | — | 91.49 | — | 78.33 | — | |
| PVT-CASCADEParams (M)=35.28, Flops (G)=7.622026.03 | 81.06 | 20.23 | — | 83.01 | — | 70.59 | — | 82.23 | — | 80.37 | — | 94.08 | — | 64.43 | — | 90.1 | — | 83.69 | — | |
| Diff-UNetParameters (M)=38.382024.09 | 80.71 | 21.64 | — | 90.99 | — | 69.67 | — | 78.28 | — | 85.9 | — | 94.86 | — | 67.02 | — | 89.93 | — | 69.06 | — | |
| 3D UX-NetParameters (M)=53.012024.09 | 80.48 | 35.4 | — | 90.84 | — | 60.04 | — | 85.64 | — | 86.16 | — | 96.09 | — | 59.91 | — | 91.18 | — | 73.96 | — | |
| HiFormerParams (M)=25.51, Flops (G)=8.052026.03 | 80.39 | 14.7 | — | 86.21 | — | 65.69 | — | 85.23 | — | 79.77 | — | 94.61 | — | 59.52 | — | 90.99 | — | 81.08 | — | |
| UNETRParams(M)=92.492026.03 | 79.56 | — | — | 89.99 | — | 60.56 | — | 85.66 | — | 84.8 | — | 94.46 | — | 59.25 | — | 87.81 | — | 73.99 | — | |
| VM UNetParam (M)=27.43, FLOPs (G)=3.16, Training Size=224 × 2242024.02 | 79.42 | 39.45 | — | 88.46 | — | 61.38 | — | 78.44 | — | 78.73 | — | 94.13 | — | 71.93 | — | 84.43 | — | 77.88 | 70.55 | |
| Swin-UnetParams (M)=27.17, Flops (G)=6.162026.03 | 79.13 | 21.55 | — | 85.47 | — | 66.53 | — | 83.28 | — | 79.61 | — | 94.29 | — | 56.58 | — | 90.66 | — | 76.6 | — | |
| SwinUNet2026.03 | 79.13 | — | — | 85.47 | — | 66.53 | — | 83.28 | — | 79.61 | — | 94.29 | — | 56.58 | — | 90.66 | — | 76.6 | — | |
| H2FormerParam (M)=33.68, FLOPs (G)=24.70, Training Size=224 × 2242024.02 | 78.99 | 44.89 | — | 90.36 | — | 59.63 | — | 82.34 | — | 80.56 | — | 92.76 | — | 64.33 | — | 80.03 | — | 81.89 | 70.05 | |
| VT-UNetParameters (M)=11.782024.09 | 78.59 | 25.36 | — | 82.94 | — | 65.03 | — | 81.12 | — | 83.17 | — | 95.51 | — | 57.35 | — | 90.28 | — | 73.31 | — | |
| nn-UNetParameters (M)=31.202024.09 | 78.56 | 55.94 | — | 90.9 | — | 57.47 | — | 81.38 | — | 81.97 | — | 95.41 | — | 65.21 | — | 89.52 | — | 66.59 | — | |
| LeViT-UNet-384Params(M)=52.172026.03 | 78.53 | — | — | 87.33 | — | 62.23 | — | 84.61 | — | 80.25 | — | 93.11 | — | 59.07 | — | 88.86 | — | 72.76 | — | |
| TransClaw U-Net2026.03 | 78.09 | — | — | 85.87 | — | 61.38 | — | 84.83 | — | 79.36 | — | 94.28 | — | 57.65 | — | 87.74 | — | 73.55 | — | |
| SwinUNetParam (M)=27.17, FLOPs (G)=5.95, Training Size=224 × 2242024.02 | 78.03 | 52.93 | — | 89.71 | — | 62.45 | — | 78.07 | — | 69.73 | — | 92.79 | — | 70.48 | — | 83.41 | — | 77.62 | 67.62 | |
| AttenUNetParam (M)=34.88, FLOPs (G)=50.98, Training Size=224 × 2242024.02 | 77.89 | 60.18 | — | 90.87 | — | 62.86 | — | 76.44 | — | 75.81 | — | 94.95 | — | 64.65 | — | 83.99 | — | 73.52 | 68.44 | |
| Att-UNetParams (M)=34.88, Flops (G)=66.642026.03 | 77.77 | 36.02 | — | 89.55 | — | 68.88 | — | 77.98 | — | 71.11 | — | 93.57 | — | 58.04 | — | 87.3 | — | 75.75 | — | |
| TransUNetParams (M)=105.28, Flops (G)=29.352026.03 | 77.48 | 31.69 | — | 87.23 | — | 63.13 | — | 81.87 | — | 77.02 | — | 94.08 | — | 55.86 | — | 85.08 | — | 75.62 | — | |
| TransUNetParams(M)=96.072026.03 | 77.48 | — | — | 87.23 | — | 63.16 | — | 81.87 | — | 77.02 | — | 94.08 | — | 55.86 | — | 85.08 | — | 75.62 | — | |
| UNetPlusPlusParam (M)=9.16, FLOPs (G)=26.71, Training Size=224 × 2242024.02 | 77.42 | 57.94 | — | 90.09 | — | 63.8 | — | 77.19 | — | 73.11 | — | 94.71 | — | 62.15 | — | 84.25 | — | 74.09 | 67.42 | |
| DualAttenUNetParam (M)=19.57, FLOPs (G)=22.10, Training Size=224 × 2242024.02 | 77.12 | 49.25 | — | 91.07 | — | 62.35 | — | 76.13 | — | 75.19 | — | 93.42 | — | 62.13 | — | 83.03 | — | 73.61 | 67.97 | |
| U-NetParams (M)=14.80, Flops (G)=8.432026.03 | 76.85 | 39.7 | — | 89.07 | — | 69.72 | — | 77.77 | — | 68.6 | — | 93.43 | — | 53.98 | — | 86.67 | — | 75.58 | — | |
| MISSFormerParam (M)=42.46, FLOPs (G)=7.28, Training Size=224 × 2242024.02 | 76.45 | 60.07 | — | 88.69 | — | 60.9 | — | 80.73 | — | 75.48 | — | 92.3 | — | 60.09 | — | 81.3 | — | 72.14 | 66.42 | |
| 3D U-NetParameters (M)=4.812024.09 | 76.32 | 39.21 | — | 87.41 | — | 53.55 | — | 80.3 | — | 80.94 | — | 95.33 | — | 52.46 | — | 88.41 | — | 72.19 | — | |
| UNETRParameters (M)=93.012024.09 | 73.81 | 69.49 | — | 82.96 | — | 58.15 | — | 78.82 | — | 81.6 | — | 93.78 | — | 44.01 | — | 85.47 | — | 65.68 | — | |
| UnetParam (M)=31.04, FLOPs (G)=41.88, Training Size=224 × 2242024.02 | 71.45 | 66.5 | — | 89.49 | — | 53.15 | — | 69.15 | — | 64.77 | — | 88.89 | — | 59.16 | — | 76.1 | — | 70.92 | 61.45 |