Multi-Label Classification 벤치마크
Multi-Label Classification on MRNet
| Rank | Model | Average AUC | AUC on Abnormality (ABN) | AUC on ACL Tear (ACL) | AUC on Meniscus Tear (MEN) | Average Accuracy | Accuracy on Abnormality (ABN) | Accuracy on ACL Tear (ACL) | Accuracy on Meniscus Tear (MEN) | Paper | Code | Year |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | MRNet | 0.894 | 0.944 | 0.915 | 0.822 | 0.814 | 0.850 | 0.867 | 0.725 | Deep-learning-assisted diagnosis for knee magnetic resonance imaging: Development and retrospective validation of MRNet | ahmedbesbes/mrnet | 2018 |
| 2 | SKIDv3 | 0.869 | 0.904 | 0.893 | 0.810 | 0.799 | 0.874 | 0.800 | 0.725 | SKID: Self-Supervised Learning for Knee Injury Diagnosis from MRI Data | sadimanna/skid · sadimanna/sslm | 2021 |