Figure 9.

Left, description of the dataset and how it was distributed for training and testing the deep learning framework and for its validation against the gold standard (VOCAL). Right, the table shows the number of ventricles measured using VOCAL and/or the deep learning-based segmentation method and the intraclass coefficient (ICC) between both methods. Using VOCAL, there are situations in which the ventricles cannot be measured. For instance, in patients id3, id6, id8 and id9 the number of unmeasured ventricles reached 50% and the ICC is lower. Using deep learning, all ventricles from the ten patients could be measured.