Table 8.
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) | 80.46 ± 0.79 | 55.95 ± 1.12 | 67.66 ± 1.06 | 96.55 ± 0.70 |
| FT u 0.00 | 72.67 ± 0.85 | 51.78 ± 1.43 | 63.11 ± 1.01 | 95.01 ± 1.20 |
| FT u 0.25 | 73.15 ± 0.64 | 52.13 ± 1.52 | 62.29 ± 1.11 | 96.01 ± 0.99 |
| FT u 0.50 | 74.23 ± 0.91 | 53.97 ± 0.88 | 65.09 ± 1.02 | 95.96 ± 0.98 |
| FT u 0.75 | 79.32 ± 0.73 | 53.23 ± 1.18 | 65.97 ± 0.87 | 96.07 ± 1.09 |
| FT u 0.90 | 80.62 ± 0.59 | 56.01 ± 1.09 | 66.49 ± 0.98 | 96.13 ± 1.10 |
The evaluation is performed on the DHMItest dataset.