TABLE 7.
Subgroup performance of the proposed CorrFABR approach.
# cases (indolent/aggressive) | AUC | ||
---|---|---|---|
| |||
Overall | 74 (37/37) | 0.855 ± 0.005 | |
Gender | |||
Male | 47 (20/27) | 0.799 ± 0.012 | |
Female | 27 (17/10) | 0.895 ± 0.015 | |
Diameter (cm) | |||
≤ 2.8 | 18 (12/6) | 0.903 ± 0.040 | |
2.9–4.3 | 19 (15/4) | 0.943 ± 0.015 | |
4.4–6 | 19 (8/11) | 0.950 ± 0.038 | |
≥ 6.1 | 18 (2/16) | 0.419 ± 0.084 | |
Age (years) | |||
≤ 50 | 15 (10/5) | 0.788 ± 0.046 | |
51–60 | 21 (12/9) | 0.874 ± 0.024 | |
61–70 | 22 (10/12) | 0.822 ± 0.013 | |
≥ 71 | 16 (5/11) | 0.927 ± 0.022 |
Abbreviation: CorrFABR, correlated feature aggregation by region.