Meningioma grade prediction on Collected Meningioma MRI dataset (test)
69.2SensitivityMAML
Evaluation results
| Method | Links | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| MAMLBackbone=ResNet342022.09 | 69.2 | 85.86 | 83.62 | 76.9 | 69.98 | 0.4675 | 35.09 | 86.18 | |
| Task-Aware Contrastive LearningBackbone=ResNet342022.09 | 68.78 | 92.77 | 89.53 | 79.81 | 78.06 | 0.586 | 45.99 | 88.7 | |
| MFMTBackbone=ResNet342022.09 | 65.82 | 91.32 | 87.88 | 77.48 | 74.93 | 0.5327 | 40.88 | 87.07 | |
| MMoEBackbone=ResNet342022.09 | 64.98 | 81.26 | 79.07 | 72.62 | 64.6 | 0.3671 | 27.73 | 81.63 | |
| EFMTBackbone=ResNet342022.09 | 59.5 | 84.75 | 81.34 | 70.99 | 65.54 | 0.3706 | 28.14 | 81.37 |