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Adversarial active learning for the identification of medical concepts and annotation inconsistency.
Yu, Gang; Yang, Yiwen; Wang, Xuying; Zhen, Huachun; He, Guoping; Li, Zheming; Zhao, Yonggen; Shu, Qiang; Shu, Liqi.
  • Yu G; Department of IT Center, the Children's Hospital, Zhejiang University School of Medicine, China; National Clinical Research Center for Child Health, China. Electronic address: yugbme@zju.edu.cn.
  • Yang Y; Department of Artificial Intelligence, Enterprise Institute, Ewell Technology, China. Electronic address: yangyiwen@ewell.cc.
  • Wang X; Department of Artificial Intelligence, Enterprise Institute, Ewell Technology, China. Electronic address: wangxuying@ewell.cc.
  • Zhen H; Department of Artificial Intelligence, Enterprise Institute, Ewell Technology, China. Electronic address: zhenhuachun@ewell.cc.
  • He G; Department of Artificial Intelligence, Enterprise Institute, Ewell Technology, China. Electronic address: hgp@ewell.cc.
  • Li Z; Department of IT Center, the Children's Hospital, Zhejiang University School of Medicine, China; National Clinical Research Center for Child Health, China. Electronic address: 6513103@zju.edu.cn.
  • Zhao Y; Department of IT Center, the Children's Hospital, Zhejiang University School of Medicine, China; National Clinical Research Center for Child Health, China. Electronic address: 6202073@zju.edu.cn.
  • Shu Q; National Clinical Research Center for Child Health, China. Electronic address: shuqiang@zju.edu.cn.
  • Shu L; Department of Neurology, Warren Alpert Medical School of Brown University, United States.
J Biomed Inform ; 108: 103481, 2020 08.
Article en En | MEDLINE | ID: mdl-32687985
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Redes Neurales de la Computación Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Año: 2020 Tipo del documento: Article