Deep convolutional neural network for segmentation of thoracic organs‐at‐risk using cropped 3D images

Abstract

The proposed DCNN method demonstrated good performance in automatic OAR segmentation from thoracic CT scans. It has the potential for eventual clinical adoption of deep learning in radiation treatment planning due to improved accuracy and reduced cost for OAR segmentation.