Multi Label Classification On Mrnet
评估指标
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
评测结果
各个模型在此基准测试上的表现结果
模型名称 | 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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