Results of the precision, recall, and F1 score metrics used to evaluate the trained network’s ability to correctly classify the test image voxels according to the corresponding ground truth. The voxel types are denoted as air (background-BG), adipose (A), sparse fibroglandular (SF), dense fibroglandular (DF), and skin (SK).