Patient-level Fracture Detection on RSNA
84.39AccuracyRSNA First Place Winner
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| RSNA First Place WinnerDataset Split=Full, Test Set Size=2019 Patients, Cross Validation=true2026.01 | 84.39 | — | — | — | 82.56 | — | |
| Proposed Network (Score Fusion)Input=2.5D (Slice + Max Stacks), View=Axial, Aggregation Method=If Any2026.01 | 83.06 | 93.54 | 69.31 | 95.54 | 79.58 | 90.95 | |
| Proposed Network (Score Fusion)Input=2.5D (Slice + Max Stacks), View=Axial, Aggregation Method=Adaptive Average2026.01 | 83.06 | 82.01 | 82.52 | 83.55 | 82.26 | 83.04 | |
| Proposed Method (Score Fusion)Test Set Size=2019 Patients2026.01 | 83.06 | — | — | — | 82.26 | — | |
| Proposed NetworkInput=2.5D (Slice Stacks), View=Axial, Aggregation Method=If Any2026.01 | 82.67 | 86.15 | 76.18 | 80.5 | 80.66 | 89.09 | |
| Proposed MethodTest Set Size=2019 Patients, Cross Validation=true2026.01 | 82.67 | — | — | — | 80.66 | — | |
| Proposed NetworkInput=2.5D (Max Projection Stacks), View=Axial, Aggregation Method=If Any2026.01 | 81.18 | 88.87 | 69.79 | 77.07 | 77.87 | 89.15 | |
| Mahajan et al.Dataset Split=Full2026.01 | 76 | — | — | — | — | — | |
| DenseNet121Input=2D (whole), View=Coronal + Sagittal, Aggregation Method=Score Fusion2026.01 | 66.67 | 66.86 | 59.59 | 73.11 | 63.01 | 69.76 | |
| EfficientNetB0Input=3D, Aggregation Method=If Any2026.01 | 62 | 74.14 | 30.56 | 90.43 | 41.38 | 65.79 | |
| DenseNet121Input=2D, View=Axial, Aggregation Method=If Any2026.01 | 61.42 | 65.64 | 39.75 | 81.1 | 49.51 | 34.04 | |
| DenseNet121Input=2D (whole), View=Coronal, Aggregation Method=None2026.01 | 60.99 | 59.16 | 58.55 | 63.21 | 58.85 | 64.63 | |
| DenseNet121Input=2D (whole), View=Sagittal, Aggregation Method=None2026.01 | 59.26 | 64.58 | 32.12 | 83.96 | 42.9 | 59.26 | |
| DenseNet121Input=2D, View=Sagittal, Aggregation Method=If Any2026.01 | 48.34 | 47.93 | 98.65 | 2.65 | 64.51 | 44.94 | |
| DenseNet121Input=2D, View=Coronal, Aggregation Method=If Any2026.01 | 47.6 | 47.6 | 100 | 0 | 64.5 | 46.22 |