Figure 5a:

Agreement of liver volume assessments between convolutional neural network (CNN)−predicted and manual liver segmentation (third phase and clinical applications are shown in Fig 1). (a) Linear regression and (b) Bland-Altman analysis of liver volume assessments from contrast-enhanced and unenhanced CT. (c) Linear regression and (d) Bland-Altman analysis of liver volume estimates from contrast-enhanced hepatobiliary phase T1-weighted MRI (HBP-T1w-MRI). There are a few outliers for both CT and HBP-T1w-MR. These represent cases in which the multimodal CNN failed to automatically recognize and segment a portion of the liver; thus, the automated liver volume measurements are significantly lower than the manual liver volume measurements. A few cases of failed segmentation are shown in Figure E2 (supplement).