Scoliosis detection on Scoliosis1K
97.2AccuracyTG-MILNet
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| TG-MILNetMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:22025.07 | 97.2 | — | — | 97.5 | |
| ScoNet-MTMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:22025.07 | 95.2 | — | — | — | |
| TG-MILNetMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:42025.07 | 94.6 | — | — | 94.7 | |
| ScoNetMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:22025.07 | 91.4 | — | — | — | |
| ScoliometerMethod Type=Traditional, Class Imbalance Ratio=1:1:82025.07 | 90.6 | 79.8 | — | — | |
| ScoNet-MTMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:42025.07 | 90.5 | — | — | — | |
| TG-MILNetMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:82025.07 | 89.9 | 99.5 | 86.4 | 90.2 | |
| ScoNetMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:42025.07 | 88.6 | — | — | — | |
| Adams TestMethod Type=Traditional, Class Imbalance Ratio=1:1:82025.07 | 84.4 | 95.2 | — | — | |
| ScoNet-MTMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:82025.07 | 82 | 99 | 76.5 | 81.9 | |
| TG-MILNetMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:162025.07 | 72.3 | — | — | 73.3 | |
| ScoNet-MTMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:162025.07 | 53.2 | — | — | — | |
| ScoNetMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:82025.07 | 51.3 | 100 | 33.2 | — | |
| CNNMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:82025.07 | 45.5 | 99 | 27 | — | |
| ScoNetMethod Type=Deep learning-based, Class Imbalance Ratio=1:1:162025.07 | 23.7 | — | — | — |