Automatic multiorgan segmentation in thorax <scp>CT</scp> images using U‐net‐<scp>GAN</scp>

Abstract

We have investigated a novel deep learning-based approach with a GAN strategy to segment multiple OARs in the thorax using chest CT images and demonstrated its feasibility and reliability. This is a potentially valuable method for improving the efficiency of chest radiotherapy treatment planning.