ACL Tear Detection on ACL
75Accuracyk=50 (Ablation)
Evaluation Results
| Method | Links | |||||
|---|---|---|---|---|---|---|
| k=50 (Ablation)k=50, Pstep=10, Npool=1000, Ens=32026.03 | 75 | 32 | 35 | 68 | 4 | |
| patient-specific feature-set selection frameworkk=30, Pstep=10, Npool=1000, Ens=32026.03 | 73 | 45 | 46 | 66 | 30 | |
| img+msk2026.03 | 72 | 48 | 47 | 74 | 35 | |
| E2E2026.03 | 70 | 37 | 38 | 57 | 22 | |
| all rad.k=˜10^32026.03 | 68 | 49 | 51 | 63 | 29 | |
| k=20 (Ablation)k=20, Pstep=10, Npool=1000, Ens=32026.03 | 67 | 48 | 46 | 65 | 34 | |
| patient-specific feature-set selection frameworkk=25, Pstep=10, Npool=1000, Ens=32026.03 | 67 | 51 | 56 | 64 | 27 | |
| Npool↓ (Ablation)k=30, Pstep=10, Npool=500, Ens=32026.03 | 65 | 38 | 39 | 60 | 22 | |
| RS (Ablation)k=30, Pstep=10, Ens=32026.03 | 64 | 48 | 47 | 64 | 34 | |
| Top-kk=25, Pstep=10, Npool=1000, Ens=32026.03 | 64 | 48 | 53 | 72 | 31 | |
| NoEns (Ablation)k=30, Pstep=10, Npool=1000, Ens=12026.03 | 63 | 37 | 39 | 58 | 20 | |
| Pstep↓ (Ablation)k=30, Pstep=5, Npool=1000, Ens=32026.03 | 59 | 36 | 38 | 59 | 18 | |
| Top-kk=30, Pstep=10, Npool=1000, Ens=32026.03 | 57 | 43 | 50 | 70 | 25 |