A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy

Xuming Chen; Shanlin Sun; Narisu Bai; Kun Han; Qianqian Liu; Shengyu Yao; Hao Tang; Chupeng Zhang; Zhipeng Lu; Qian Huang; Guoqi Zhao; Yi Xu; Tingfeng Chen; Xiaohui Xie; Yong Liu

doi:10.1016/j.radonc.2021.04.019

A deep learning-based auto-segmentation system for organs-at-risk on whole-body computed tomography images for radiation therapy

Xuming Chen(Shanghai Jiao Tong University), Shanlin Sun(University of California, Irvine), Narisu Bai(Institute on Taxation and Economic Policy), Kun Han(Institute on Taxation and Economic Policy), Qianqian Liu(Shanghai Jiao Tong University), Shengyu Yao(Shanghai Jiao Tong University), Hao Tang(University of California, Irvine), Chupeng Zhang(Institute on Taxation and Economic Policy), Zhipeng Lu(Institute on Taxation and Economic Policy), Qian Huang(Shanghai Jiao Tong University), Guoqi Zhao(Shanghai Jiao Tong University), Yi Xu(Shanghai Jiao Tong University), Tingfeng Chen(Shanghai Jiao Tong University), Xiaohui Xie(University of California, Irvine), Yong Liu(Shanghai Mental Health Center)

Radiotherapy and Oncology

May 4, 2021

10.1016/j.radonc.2021.04.019

Cited by 161

Abstract

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