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A deep learning model and human-machine fusion for prediction of EBV-associated gastric cancer from histopathology.
Zheng, Xueyi; Wang, Ruixuan; Zhang, Xinke; Sun, Yan; Zhang, Haohuan; Zhao, Zihan; Zheng, Yuanhang; Luo, Jing; Zhang, Jiangyu; Wu, Hongmei; Huang, Dan; Zhu, Wenbiao; Chen, Jianning; Cao, Qinghua; Zeng, Hong; Luo, Rongzhen; Li, Peng; Lan, Lilong; Yun, Jingping; Xie, Dan; Zheng, Wei-Shi; Luo, Junhang; Cai, Muyan.
Afiliação
  • Zheng X; Department of Pathology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
  • Wang R; School of Computer Science and Engineering, Sun Yat-sen University, 510006, Guangzhou, China.
  • Zhang X; Department of Pathology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
  • Sun Y; Department of Pathology, Tianjin Medical University Cancer Institute and Hospital, 300000, Tianjin, China.
  • Zhang H; School of Computer Science and Engineering, Sun Yat-sen University, 510006, Guangzhou, China.
  • Zhao Z; Department of Pathology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
  • Zheng Y; School of Computer Science and Engineering, Sun Yat-sen University, 510006, Guangzhou, China.
  • Luo J; School of Computer Science and Engineering, Sun Yat-sen University, 510006, Guangzhou, China.
  • Zhang J; Department of Pathology, Affiliated Cancer Hospital & Institute of Guangzhou Medical University, 510095, Guangzhou, China.
  • Wu H; Department of Pathology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, 510080, Guangzhou, China.
  • Huang D; Department of Pathology, Fudan University Shanghai Cancer Center, 200032, Shanghai, China.
  • Zhu W; Department of Pathology, Meizhou People's Hospital, 514011, Meizhou, China.
  • Chen J; Department of Pathology, The Third Affiliated Hospital, Sun Yat-sen University, 510635, Guangzhou, China.
  • Cao Q; Department of Pathology, The First Affiliated Hospital, Sun Yat-sen University, 510080, Guangzhou, China.
  • Zeng H; Department of Pathology, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, 510120, Guangzhou, China.
  • Luo R; Department of Pathology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
  • Li P; Department of Pathology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
  • Lan L; Department of Pathology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
  • Yun J; Department of Pathology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
  • Xie D; Department of Pathology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China.
  • Zheng WS; School of Computer Science and Engineering, Sun Yat-sen University, 510006, Guangzhou, China. wszheng@ieee.org.
  • Luo J; Department of Urology, The First Affiliated Hospital, Sun Yat-Sen University, 510080, Guangzhou, China. luojunh@mail.sysu.edu.cn.
  • Cai M; Department of Pathology, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, 510060, Guangzhou, China. caimy@sysucc.org.cn.
Nat Commun ; 13(1): 2790, 2022 05 19.
Article em En | MEDLINE | ID: mdl-35589792
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Infecções por Vírus Epstein-Barr / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Infecções por Vírus Epstein-Barr / Aprendizado Profundo Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Nat Commun Assunto da revista: BIOLOGIA / CIENCIA Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China