Segmentation on BTCV 100% (train)
96.6Spleen Segmentation AccuracyTP-Mamba
Evaluation results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TP-MambaTraining Data=100%2024.09 | 96.6 | 95 | 94.9 | 79.6 | 76.3 | 97.2 | 86.6 | 91.5 | 87.1 | 77 | 85.1 | 68.3 | 67.1 | 84.8 | |
| MedNeXtTraining Data=100%2024.09 | 96.5 | 95 | 95 | 71.5 | 77.2 | 97.2 | 81.7 | 91 | 85.4 | 77.1 | 79.3 | 68 | 65.9 | 83.1 | |
| nnUNetTraining Data=100%2024.09 | 96.4 | 95.7 | 94.8 | 77.8 | 75.5 | 97.1 | 79.4 | 90.8 | 84.3 | 77.7 | 79.5 | 64.4 | 63.3 | 82.5 | |
| MA-SAMTraining Data=100%2024.09 | 96.3 | 94.9 | 94.8 | 73.3 | 74.8 | 97.1 | 82.4 | 90.8 | 83.6 | 76.5 | 79.8 | 63.8 | 63.7 | 82.4 | |
| U-MambaTraining Data=100%2024.09 | 95.8 | 94.5 | 94.6 | 73.8 | 75.1 | 96.9 | 81.7 | 90.8 | 84.7 | 75.7 | 79.3 | 64.4 | 57.7 | 81.9 | |
| SwinUNetrTraining Data=100%2024.09 | 95.7 | 94.4 | 94.1 | 71.5 | 75.7 | 96.9 | 78.8 | 90.1 | 85.7 | 74.5 | 80.7 | 66.7 | 64.6 | 82.3 | |
| 3D-UX-NetTraining Data=100%2024.09 | 95.3 | 94.2 | 93.6 | 71.9 | 71.6 | 96.5 | 82.3 | 90.4 | 84.8 | 71.3 | 76.8 | 67.5 | 66.4 | 81.8 | |
| TransBTSTraining Data=100%2024.09 | 94.1 | 93.9 | 93.7 | 75.9 | 69.2 | 96.5 | 82.5 | 88.8 | 85 | 73.1 | 77.1 | 68.1 | 55 | 81 | |
| SAMedTraining Data=100%2024.09 | 93.4 | 94.7 | 94.9 | 76.2 | 75.5 | 96.7 | 78.7 | 90.6 | 84.1 | 78.1 | 77.9 | 64.1 | 63.9 | 82.2 | |
| VNetTraining Data=100%2024.09 | 91.5 | 93 | 93 | 70.5 | 72.2 | 96.1 | 81 | 88.7 | 83.5 | 68.1 | 77.9 | 64.2 | 60.1 | 80 | |
| UNetrTraining Data=100%2024.09 | 91.5 | 92.8 | 91.2 | 60.2 | 72 | 93 | 80.1 | 87.5 | 80.2 | 67.8 | 71.8 | 61.6 | 57.4 | 77.5 |