Multi Label Classification On Mrnet
평가 지표
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
평가 결과
이 벤치마크에서 각 모델의 성능 결과
모델 이름 | 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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