Multi Label Classification On Mrnet
Métriques
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
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | 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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