Medical Image Segmentation on MSD Brain Tumour (test)
85.7Avg DSCAgileFormer-T
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| AgileFormer-TModel dimensionality=3D, Deep supervision (DS)=true, Input size=96x96x962024.03 | 85.7 | — | — | — | 91.2 | 80.8 | 85.1 | |
| MedNextModel dimensionality=3D, Input size=96x96x962024.03 | 85.4 | — | — | — | 90.3 | 81.5 | 84.5 | |
| nnUNetModel dimensionality=3D, Input size=96x96x962024.03 | 85.2 | — | — | — | 91 | 80.3 | 84.1 | |
| UNETR++Model dimensionality=3D, Input size=96x96x962024.03 | 85.2 | — | — | — | 91 | 80.1 | 84.2 | |
| SwinUNETRModel dimensionality=3D, Input size=96x96x962024.03 | 84.9 | — | — | — | 90.7 | 80.5 | 83.5 | |
| nnFormerModel dimensionality=3D, Input size=96x96x962024.03 | 84.9 | — | — | — | 91.4 | 79.2 | 84 | |
| TransUNetModel dimensionality=3D, Input size=96x96x962024.03 | 84.6 | — | — | — | 90.5 | 79.9 | 83.4 | |
| TransBTSModel dimensionality=3D, Input size=96x96x962024.03 | 84.2 | — | — | — | 90.2 | 79.6 | 82.9 | |
| CoTrModel dimensionality=3D, Input size=96x96x962024.03 | 84.1 | — | — | — | 91.2 | 78.7 | 83.2 | |
| UNETRModel dimensionality=3D, Input size=96x96x962024.03 | 84.1 | — | — | — | 90.5 | 79.3 | 82.4 | |
| nnU-NetEvaluation Mode=Test Set Submission2018.09 | — | 67.71 | 47.73 | 68.16 | — | — | — |