Automatic Segmentation of Clinical Target Volume and Organs-at-Risk for Breast Conservative Radiotherapy Using a Convolutional Neural Network.

Zhikai LiuFangjie LiuWanqi ChenYinjie TaoXia LiuFu-Quan Zhang Jing ShenHui GuanHongnan ZhenShaobin WangQi ChenYu ChenXiaorong Hou

Published in: Cancer management and research (2021)

Our proposed model (U-ResNet) can improve the efficiency and accuracy of delineation compared with U-Net, performing equally well with the segmentation generated by oncologists.

Keyphrases

convolutional neural network
deep learning
early stage
machine learning
radiation therapy
locally advanced
radiation induced
squamous cell carcinoma
neural network
rectal cancer
palliative care