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CT-based deep learning radiomics analysis for evaluation of serosa invasion in advanced gastric cancer.
Sun, Rui-Jia; Fang, Meng-Jie; Tang, Lei; Li, Xiao-Ting; Lu, Qiao-Yuan; Dong, Di; Tian, Jie; Sun, Ying-Shi.
Afiliação
  • Sun RJ; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. Electronic address: sunruijia328@163.com.
  • Fang MJ; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China. Electronic address: fangmengjie2015@ia.ac.cn.
  • Tang L; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. Electronic address: terrytang78@163.com.
  • Li XT; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. Electronic address: 13520120308@163.com.
  • Lu QY; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. Electronic address: luqiaoyuan85@163.com.
  • Dong D; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, 100049, China. Electronic address: di.dong@ia.ac.cn.
  • Tian J; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, 100190, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine, Beihang University, Beijing, 100191, China; Engineering Research Center of Molecular an
  • Sun YS; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital & Institute, Beijing, 100142, China. Electronic address: sys27@163.com.
Eur J Radiol ; 132: 109277, 2020 Nov.
Article em En | MEDLINE | ID: mdl-32980726
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Eur J Radiol Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado Profundo Tipo de estudo: Observational_studies / Prognostic_studies Limite: Humans Idioma: En Revista: Eur J Radiol Ano de publicação: 2020 Tipo de documento: Article