Fig. 3.

Example images from deep learning image segmentation in whole-body MRI. The images represent coronal multiplanar reconstructions of a T1-weighted Dixon-based dataset of a healthy individual. From left to right, fat and gadolinium-enhanced water sequences, as well as manually segmented “ground truth” segmentation mask and its automatic “pendant,” predicted by a deep learning–based MRI segmentation algorithm. Red, green, and blue areas represent the compartments subcutaneous adipose tissue, visceral adipose tissue, and muscle mass, respectively. All images unpublished own data, copyrighted by the authors