Automatic segmentation of high-risk clinical target volume and organs at risk in brachytherapy of cervical cancer with a convolutional neural network.

J ZhuJ YanJ ZhangL YuA SongZ ZhengY ChenS WangQ ChenZ LiuF Zhang

Published in: Cancer radiotherapie : journal de la Societe francaise de radiotherapie oncologique (2024)

The high-risk clinical target volumes and organs at risk of cervical cancer generated by the proposed convolutional neural networks model can be used clinically, potentially improving segmentation consistency and efficiency of contouring in image-guided adaptive brachytherapy workflow.

Keyphrases

convolutional neural network
deep learning
high dose
radiation therapy
machine learning
locally advanced
electronic health record