Fig. 5

Results per lesion for all algorithms (cU-Net, moU-Net, sU-Net and their combination) and ensemble building through summation and majority voting. A lesion in the test set (40 patients, 83 lesions) was considered detected if it overlapped with a segmentation produced by the respective algorithm. The degree of overlap and thus the quality of the segmentation was assessed using the dice similarity coefficient (DSC). The dashed blue line is the threshold at which a lesion was defined as small (< 0.4 ml) and thus used to train the sU-Net