Table 1. Summarized 5-fold cross-validation results of the tissue classification problem with eight distinct classes.
Algorithm | Precision (%) | Recall (%) | F1-Score (%) |
---|---|---|---|
Baseline | 58.0 ± 4.9 | 55.6 ± 5.3 | 55.0 ± 5.3 |
FCN | 84.0 ± 1.3 | 84.0 ± 1.3 | 84.0 ± 1.3 |
UNet | 82.2 ± 2.1 | 82.8 ± 1.8 | 82.0 ± 2.0 |
Histonet | 83.4 ± 1.3 | 82.8 ± 1.0 | 83.0 ± 1.2 |