Table 9.
Effect of uncertainty-based training with breastbin labels generated from ACR-classification labels on DVTB dataset.
| Task | ||||
|---|---|---|---|---|
| breastbin | ACR | BIRADS | View | |
| AUC | Accuracy | Accuracy | AUC | |
| Reference (MTL) | 78.13 ± 0.83 | 58.29 ± 1.41 | 31.70 ± 2.32 | 84.12 ± 1.32 |
| FTu0.00 | 72.24 ± 0.83 | 55.12 ± 1.92 | 31.54 ± 1.11 | 85.32 ± 1.05 |
| FTu0.25 | 74.42 ± 0.92 | 57.03 ± 1.21 | 30.10 ± 2.04 | 89.33 ± 1.44 |
| FTu0.50 | 76.85 ± 0.71 | 60.08 ± 2.04 | 36.54 ± 1.67 | 92.01 ± 1.23 |
| FTu0.75 | 78.42 ± 0.90 | 61.97 ± 1.42 | 37.94 ± 1.03 | 92.16 ± 0.87 |
| FTu0.90 | 81.40 ± 0.45 | 62.68 ± 1.01 | 38.54 ± 1.24 | 91.98 ± 0.97 |
The evaluation is performed on the DINB dataset.