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Deep learning-based classification and mutation prediction from histopathological images of hepatocellular carcinoma.
Liao, Haotian; Long, Yuxi; Han, Ruijiang; Wang, Wei; Xu, Lin; Liao, Mingheng; Zhang, Zhen; Wu, Zhenru; Shang, Xuequn; Li, Xuefeng; Peng, Jiajie; Yuan, Kefei; Zeng, Yong.
Afiliação
  • Liao H; Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China.
  • Long Y; School of Computer Science, Northwestern Polytechnical University, Xi'an, China.
  • Han R; School of Computer Science, Northwestern Polytechnical University, Xi'an, China.
  • Wang W; School of Computer Science, Northwestern Polytechnical University, Xi'an, China.
  • Xu L; Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China.
  • Liao M; Department of Liver Surgery & Liver Transplantation, State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University and Collaborative Innovation Center of Biotherapy, Chengdu, China.
  • Zhang Z; Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.
  • Wu Z; Laboratory of Pathology, Department of Pathology, West China Hospital, Sichuan University, Chengdu, China.
  • Shang X; School of Computer Science, Northwestern Polytechnical University, Xi'an, China.
  • Li X; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, China.
  • Peng J; School of Basic Medical Sciences, Guangzhou Medical University, Guangzhou, China.
  • Yuan K; Shenzhen Luohu People's Hospital, The Third Affiliated Hospital of Shenzhen University, Shenzhen, China.
  • Zeng Y; School of Computer Science, Northwestern Polytechnical University, Xi'an, China.
Clin Transl Med ; 10(2): e102, 2020 Jun.
Article em En | MEDLINE | ID: mdl-32536036
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article