Table 3.
Metric results of the pre-active learning and post-active learning segmentation models
Model | Epoch | Sensitivity | Positive predictive value | Dice similarity coefficient | Jaccard similarity coefficient | Modified Hausdorff distance |
---|---|---|---|---|---|---|
Model A; Reference |
52 | 0.912 | 0.906 | 0.906 | 0.834 | 3.309 |
Model B; Baseline |
56 | 0.913 | 0.842 | 0.865 | 0.778 | 3.710 |
Model B; Post-active learning |
63 | 0.882 | 0.876 | 0.870 | 0.780 | 3.837 |
Model C; Baseline |
57 | 0.849 | 0.825 | 0.825 | 0.718 | 4.317 |
Model C; Post-active learning |
57 | 0.907 | 0.845 | 0.868 | 0.777 | 3.761 |