Due to the large Subcutaneous Adipose Tissue (SAT) variability in the cohort, binary inside SAT masks were created using an active learning 2D U-Net [22]. After training, user input was needed to mark the start and end slice for the segmentation (armpit and minor trochanter). Furthermore,...