 The study developed a computer-aided diagnosis, CAD, software for lymphoedema screening in pelvic computed tomography, CT, images using deep learning, with the ResNet 34 model achieving the highest accuracy of 92.9%. This article was authored by Yukihiro Nomura, Masoto Hoshiyama, Shinsuke Akita, and others.