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A Weakly Supervised Deep Learning Method for Guiding Ovarian Cancer Treatment and Identifying an Effective Biomarker.
Wang, Ching-Wei; Lee, Yu-Ching; Chang, Cheng-Chang; Lin, Yi-Jia; Liou, Yi-An; Hsu, Po-Chao; Chang, Chun-Chieh; Sai, Aung-Kyaw-Oo; Wang, Chih-Hung; Chao, Tai-Kuang.
Afiliação
  • Wang CW; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.
  • Lee YC; Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.
  • Chang CC; Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.
  • Lin YJ; Department of Gynecology and Obstetrics, Tri-Service General Hospital, Taipei 11490, Taiwan.
  • Liou YA; Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 11490, Taiwan.
  • Hsu PC; Department of Pathology, Tri-Service General Hospital, Taipei 11490, Taiwan.
  • Chang CC; Institute of Pathology and Parasitology, National Defense Medical Center, Taipei 11490, Taiwan.
  • Sai AK; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei 106335, Taiwan.
  • Wang CH; Department of Gynecology and Obstetrics, Tri-Service General Hospital, Taipei 11490, Taiwan.
  • Chao TK; Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei 11490, Taiwan.
Cancers (Basel) ; 14(7)2022 Mar 24.
Article em En | MEDLINE | ID: mdl-35406422
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Observational_studies Idioma: En Revista: Cancers (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Taiwan