An active learning approach to train a deep learning algorithm for tumor segmentation from brain MR images

Insights into Imaging

Table 1 Metric results for each baseline model

Model	Epoch	Sensitivity	Positive predictive value	Dice similarity coefficient	Jaccard similarity coefficient	Modified Hausdorff distance
Model A; 1151 training cases	52	0.912	0.906	0.906	0.834	3.309
Model B; 575 training cases	56	0.913	0.842	0.865	0.778	3.710
Model C; 100 training cases	57	0.849	0.825	0.825	0.718	4.317