• Corpus ID: 239769276

Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images

@article{Wang2021DualSG,
  title={Dual Shape Guided Segmentation Network for Organs-at-Risk in Head and Neck CT Images},
  author={Shuai Wang and Theodore Yanagihara and Bhishamjit S. Chera and Colette J. Shen and Pew-Thian Yap and Jun Lian},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.12192}
}
The accurate segmentation of organs-at-risk (OARs) in head and neck CT images is a critical step for radiation therapy of head and neck cancer patients. However, manual delineation for numerous OARs is time-consuming and laborious, even for expert oncologists. Moreover, manual delineation results are susceptible to high intraand inter-variability. To this end, we propose a novel dual shape guided network (DSGnet) to automatically delineate nine important OARs in head and neck CT images. To deal… 

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