Fully automatic segmentation of paraspinal muscles from 3D torso CT images via multi-scale iterative random forest classifications.

Our fully automatic, learning-based method can accurately segment paraspinal muscles from 3D torso CT images. It generates segmentation results that are better than those achieved by the state-of-the-art methods.