Mastoidectomy Shape Segmentation on Mastoidectomy CT 32 random (test)
72.1Dice CoefficientProposed Method
Evaluation Results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| Proposed Methodtraining_loss=L_TD, model_architecture=Mamba-based2026.01 | 72.1 | 56.8 | 94.1 | 82.6 | 65.6 | 98.3 | 16.159 | 3.638 | |
| SwinUNETRtraining_loss=L_TD2026.01 | 71.2 | 55.7 | 93.9 | 80.6 | 65.5 | 98.1 | 16.93 | 3.971 | |
| Baselinetraining_loss=L_TD2026.01 | 70.2 | 54.5 | 93.8 | 79.7 | 64.4 | 98 | 17.352 | 4.159 | |
| UNETRtraining_loss=L_TD2026.01 | 69.8 | 54.2 | 93.1 | 82.1 | 62.4 | 98.3 | 17.612 | 3.89 | |
| R2AttUNETtraining_loss=L_TD2026.01 | 49.7 | 34.3 | 91.7 | 89.1 | 36.1 | 99.5 | 24.377 | 5.435 | |
| R2UNETtraining_loss=L_TD2026.01 | 48.4 | 32.5 | 91.4 | 84.8 | 34.8 | 99.2 | 27.948 | 5.273 | |
| UNET++training_loss=L_TD2026.01 | 32.8 | 20.3 | 88.9 | 56.3 | 24.4 | 97.7 | 32.367 | 9.349 |