Nature Communications (Oct 2022)
Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study
- Xianghua Ye,
- Dazhou Guo,
- Jia Ge,
- Senxiang Yan,
- Yi Xin,
- Yuchen Song,
- Yongheng Yan,
- Bing-shen Huang,
- Tsung-Min Hung,
- Zhuotun Zhu,
- Ling Peng,
- Yanping Ren,
- Rui Liu,
- Gong Zhang,
- Mengyuan Mao,
- Xiaohua Chen,
- Zhongjie Lu,
- Wenxiang Li,
- Yuzhen Chen,
- Lingyun Huang,
- Jing Xiao,
- Adam P. Harrison,
- Le Lu,
- Chien-Yu Lin,
- Dakai Jin,
- Tsung-Ying Ho
Affiliations
- Xianghua Ye
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University
- Dazhou Guo
- DAMO Academy, Alibaba Group
- Jia Ge
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University
- Senxiang Yan
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University
- Yi Xin
- Ping An Technology
- Yuchen Song
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University
- Yongheng Yan
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University
- Bing-shen Huang
- Department of Radiation Oncology, Chang Gung Memorial Hospital
- Tsung-Min Hung
- Department of Radiation Oncology, Chang Gung Memorial Hospital
- Zhuotun Zhu
- Department of Computer Science, Johns Hopkins University
- Ling Peng
- Department of Respiratory Disease, Zhejiang Provincial People’s Hospital, Hangzhou
- Yanping Ren
- Department of Radiation Oncology, Huadong Hospital Affiliated to Fudan University
- Rui Liu
- Department of Radiation Oncology, The First Affiliated Hospital, Xi’an Jiaotong University
- Gong Zhang
- Department of Radiation Oncology, People’s Hospital of Shanxi Province
- Mengyuan Mao
- Department of Radiation Oncology, Nanfang Hospital, Southern Medical University
- Xiaohua Chen
- Department of Radiation Oncology, The First Hospital of Lanzhou University
- Zhongjie Lu
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University
- Wenxiang Li
- Department of Radiation Oncology, The First Affiliated Hospital, Zhejiang University
- Yuzhen Chen
- Department of Radiation Oncology, Chang Gung Memorial Hospital
- Lingyun Huang
- Ping An Technology
- Jing Xiao
- Ping An Technology
- Adam P. Harrison
- Q Bio Inc
- Le Lu
- DAMO Academy, Alibaba Group
- Chien-Yu Lin
- Department of Radiation Oncology, Chang Gung Memorial Hospital
- Dakai Jin
- DAMO Academy, Alibaba Group
- Tsung-Ying Ho
- Department of Nuclear Medicine, Chang Gung Memorial Hospital
- DOI
- https://doi.org/10.1038/s41467-022-33178-z
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 15
Abstract
Accurate organ at risk (OAR) segmentation is critical to reduce the radiotherapy post-treatment complications. Here, the authors develop an automated OAR segmentation system to delineate a comprehensive set of 42 H&N OARs.
