Automatic segmentation of the clinical target volume and organs at risk in the planningCTfor rectal cancer using deep dilated convolutional neural networks

These data suggest that DDCNN can be used to segment the CTV and OARs accurately and efficiently. It was invariant to the body size, body shape, and age of the patients. DDCNN could improve the consistency of contouring and streamline radiotherapy workflows.