CORC  > 中国医学科学院 北京协和医学院
A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial
Men Kuo; Geng Huaizhi; Zhong Haoyu; Fan Yong; Lin Alexander; Xiao Ying
2019
卷号105期号:2页码:440-447
关键词3D rCNN deep learning dosiomics radiomics xerostomia
ISSN号1879-355X
DOI10.1016/j.ijrobp.2019.06.009
URL标识查看原文
收录类别PUBMED
内容类型期刊论文
URI标识http://www.corc.org.cn/handle/1471x/6340526
专题中国医学科学院 北京协和医学院
推荐引用方式
GB/T 7714
Men Kuo,Geng Huaizhi,Zhong Haoyu,et al. A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial[J],2019,105(2):440-447.
APA Men Kuo,Geng Huaizhi,Zhong Haoyu,Fan Yong,Lin Alexander,&Xiao Ying.(2019).A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial.,105(2),440-447.
MLA Men Kuo,et al."A Deep Learning Model for Predicting Xerostomia Due to Radiation Therapy for Head and Neck Squamous Cell Carcinoma in the RTOG 0522 Clinical Trial".105.2(2019):440-447.
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