Medical Image Segmentation on MSD Pancreas (test)
91.89DSCTokenSeg
Evaluation Results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| TokenSegTrain Dataset=Pancreas2026.01 | 91.89 | — | — | — | — | — | 3.89 | 91.01 | 99.81 | — | — | — | — | — | |
| nnU-NetTrain Dataset=Pancreas2026.01 | 90.12 | — | — | — | — | — | 4.89 | 89.23 | 99.78 | — | — | — | — | — | |
| Swin UNETRTrain Dataset=Pancreas2026.01 | 87.89 | — | — | — | — | — | 6.23 | 87.01 | 99.67 | — | — | — | — | — | |
| TransUNetTrain Dataset=Pancreas2026.01 | 86.45 | — | — | — | — | — | 6.78 | 85.56 | 99.58 | — | — | — | — | — | |
| U-NetTrain Dataset=Pancreas2026.01 | 84.23 | — | — | — | — | — | 7.89 | 83.34 | 99.34 | — | — | — | — | — | |
| FlexiCT-3D2026.05 | 83.9 | — | — | — | — | — | — | — | — | 62.9 | 56.8 | 40.5 | 70.3 | 51.7 | |
| TokenSegTrain Dataset=HepaticVessel2026.01 | 82.67 | — | — | — | — | — | 8.23 | 81.78 | 99.45 | — | — | — | — | — | |
| nnUNet2026.05 | 82.4 | — | — | — | — | — | — | — | — | 61.3 | 49.9 | 34.1 | 66.1 | 47.7 | |
| TokenSegTrain Dataset=Lung2026.01 | 82.34 | — | — | — | — | — | 8.45 | 81.45 | 99.45 | — | — | — | — | — | |
| CT-FM2026.05 | 81.8 | — | — | — | — | — | — | — | — | 59 | 42 | 27.1 | 61.9 | 43.1 | |
| Voco2026.05 | 81.1 | — | — | — | — | — | — | — | — | 58.4 | 43.3 | 29.6 | 62.2 | 44 | |
| Primus-M2026.05 | 79.7 | — | — | — | — | — | — | — | — | 55.5 | 43.4 | 29.6 | 61.5 | 42.5 | |
| nnU-NetTrain Dataset=HepaticVessel2026.01 | 78.23 | — | — | — | — | — | 10.87 | 77.12 | 99.12 | — | — | — | — | — | |
| nnU-NetTrain Dataset=Lung2026.01 | 77.89 | — | — | — | — | — | 10.89 | 76.78 | 99.12 | — | — | — | — | — | |
| Swin UNETRTrain Dataset=HepaticVessel2026.01 | 75.67 | — | — | — | — | — | 12.45 | 74.56 | 98.89 | — | — | — | — | — | |
| Swin UNETRTrain Dataset=Lung2026.01 | 74.56 | — | — | — | — | — | 12.67 | 73.45 | 98.89 | — | — | — | — | — | |
| TransUNetTrain Dataset=HepaticVessel2026.01 | 73.34 | — | — | — | — | — | 13.12 | 72.23 | 98.78 | — | — | — | — | — | |
| TransUNetTrain Dataset=Lung2026.01 | 72.34 | — | — | — | — | — | 13.89 | 71.23 | 98.78 | — | — | — | — | — | |
| U-NetTrain Dataset=HepaticVessel2026.01 | 70.23 | — | — | — | — | — | 14.56 | 69.12 | 98.67 | — | — | — | — | — | |
| U-NetTrain Dataset=Lung2026.01 | 68.34 | — | — | — | — | — | 15.67 | 67.23 | 98.45 | — | — | — | — | — | |
| Base Modelalpha=None2026.01 | 63.52 | — | — | 58 | — | 14.23 | 70.46 | — | — | — | — | — | — | — | |
| RW-CPalpha=0.2, constraint=Moderate2026.01 | 63.33 | — | — | 78 | 1.77 | 44.81 | 80.61 | — | — | — | — | — | — | — | |
| RW-CPalpha=0.1, constraint=Tight2026.01 | 49.62 | — | — | 92.3 | 4.34 | 30.96 | 81.6 | — | — | — | — | — | — | — | |
| Standard CRCalpha=0.2, constraint=Moderate2026.01 | 45.19 | — | — | 81.8 | 7.72 | 103.03 | 263.47 | — | — | — | — | — | — | — | |
| Consemaalpha=0.2, constraint=Moderate2026.01 | 38.05 | — | — | 92.7 | 8.9 | 39.08 | 102.97 | — | — | — | — | — | — | — | |
| Consemaalpha=0.1, constraint=Tight2026.01 | 25.23 | — | — | 98 | 17.38 | 60.59 | 124.32 | — | — | — | — | — | — | — | |
| RW-CPalpha=0.05, constraint=Very tight2026.01 | 25.17 | — | — | 98.7 | 16 | 62.05 | 131.1 | — | — | — | — | — | — | — | |
| Consemaalpha=0.05, constraint=Very tight2026.01 | 20.93 | — | — | 98.8 | 23.15 | 72.76 | 136.32 | — | — | — | — | — | — | — | |
| Standard CRCalpha=0.1, constraint=Tight2026.01 | 11.79 | — | — | 93.6 | 50.64 | 150.53 | 283.85 | — | — | — | — | — | — | — | |
| Standard CRCalpha=0.05, constraint=Very tight2026.01 | 5.17 | — | — | 99.8 | 140.49 | 157.43 | 300.36 | — | — | — | — | — | — | — | |
| nnU-NetEvaluation Mode=Test Set Submission2018.09 | — | 79.53 | 52.27 | — | — | — | — | — | — | — | — | — | — | — |