Multi Label Classification On Mrnet
評価指標
AUC on ACL Tear (ACL)
AUC on Abnormality (ABN)
AUC on Meniscus Tear (MEN)
Accuracy on ACL Tear (ACL)
Accuracy on Abnormality (ABN)
Accuracy on Meniscus Tear (MEN)
Average AUC
Average Accuracy
評価結果
このベンチマークにおける各モデルのパフォーマンス結果
モデル名 | AUC on ACL Tear (ACL) | AUC on Abnormality (ABN) | AUC on Meniscus Tear (MEN) | Accuracy on ACL Tear (ACL) | Accuracy on Abnormality (ABN) | Accuracy on Meniscus Tear (MEN) | Average AUC | Average Accuracy | Paper Title | Repository |
|---|---|---|---|---|---|---|---|---|---|---|
| MRNet | 0.915 | 0.944 | 0.822 | 0.867 | 0.850 | 0.725 | 0.894 | 0.814 | Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet | |
| SKIDv3 | 0.893 | 0.904 | 0.810 | 0.800 | 0.874 | 0.725 | 0.869 | 0.799 | SKID: Self-Supervised Learning for Knee Injury Diagnosis from MRI Data |
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