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Deep learning radiomic nomogram can predict the number of lymph node metastasis in locally advanced gastric cancer: an international multicenter study.
Dong, D; Fang, M-J; Tang, L; Shan, X-H; Gao, J-B; Giganti, F; Wang, R-P; Chen, X; Wang, X-X; Palumbo, D; Fu, J; Li, W-C; Li, J; Zhong, L-Z; De Cobelli, F; Ji, J-F; Liu, Z-Y; Tian, J.
Afiliação
  • Dong D; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Fang MJ; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • Tang L; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Radiology Department, Peking University Cancer Hospital & Institute, Beijing, China.
  • Shan XH; Department of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
  • Gao JB; Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Giganti F; Department of Radiology, University College London Hospital NHS Foundation Trust, London; Division of Surgery and Interventional Science, Faculty of Medical Sciences, University College London, London, UK; Department of Radiology, Experimental Imaging Centre, San Raffaele Scientific Institute, Milan
  • Wang RP; Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
  • Chen X; Department of Radiology, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China; Department of Radiology, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
  • Wang XX; Department of Radiology, Affiliated People's Hospital of Jiangsu University, Zhenjiang, Jiangsu, China.
  • Palumbo D; Department of Radiology, Experimental Imaging Centre, San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
  • Fu J; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Radiology Department, Peking University Cancer Hospital & Institute, Beijing, China.
  • Li WC; Department of Radiology, Guizhou Provincial People's Hospital, Guiyang, Guizhou, China.
  • Li J; Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, Henan, China.
  • Zhong LZ; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China; School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China.
  • De Cobelli F; Department of Radiology, Experimental Imaging Centre, San Raffaele Scientific Institute, Milan, Italy; Vita-Salute San Raffaele University, Milan, Italy.
  • Ji JF; Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Gastrointestinal Cancer Center, Peking University Cancer Hospital & Institute, Beijing, China. Electronic address: jijiafu@hsc.pku.edu.cn.
  • Liu ZY; Department of Radiology, Guangdong Provincial People's Hospital/Guangdong Academy of Medical Sciences, Guangzhou, Guangdong, China. Electronic address: zyliu@163.com.
  • Tian J; CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine, Beihang University, Beijing, China; Engineering Research Center of Molecular and Neuro Imaging
Ann Oncol ; 31(7): 912-920, 2020 07.
Article em En | MEDLINE | ID: mdl-32304748
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado Profundo Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado Profundo Idioma: En Ano de publicação: 2020 Tipo de documento: Article