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Weakly supervised deep learning for prediction of treatment effectiveness on ovarian cancer from histopathology images.
Wang, Ching-Wei; Chang, Cheng-Chang; Lee, Yu-Ching; Lin, Yi-Jia; Lo, Shih-Chang; Hsu, Po-Chao; Liou, Yi-An; Wang, Chih-Hung; Chao, Tai-Kuang.
Affiliation
  • Wang CW; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan; Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei, Taiwan.
  • Chang CC; Department of Gynecology and Obstetrics, Tri-Service General Hospital, Taipei, Taiwan; Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan.
  • Lee YC; Graduate Institute of Applied Science and Technology, National Taiwan University of Science and Technology, Taipei, Taiwan.
  • Lin YJ; Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan; Institute of Pathology and Parasitology, National Defense Medical Center, Taipei, Taiwan.
  • Lo SC; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
  • Hsu PC; Department of Gynecology and Obstetrics, Tri-Service General Hospital, Taipei, Taiwan; Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan.
  • Liou YA; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
  • Wang CH; Department of Otolaryngology-Head and Neck Surgery, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan.
  • Chao TK; Department of Pathology, Tri-Service General Hospital, Taipei, Taiwan; Institute of Pathology and Parasitology, National Defense Medical Center, Taipei, Taiwan. Electronic address: chaotai.kuang@msa.hinet.net.
Comput Med Imaging Graph ; 99: 102093, 2022 07.
Article in En | MEDLINE | ID: mdl-35752000
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Comput Med Imaging Graph Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Document type: Article Affiliation country: Taiwán Country of publication: Estados Unidos
Fulltext
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ovarian Neoplasms / Deep Learning Type of study: Prognostic_studies / Risk_factors_studies Limits: Female / Humans Language: En Journal: Comput Med Imaging Graph Journal subject: DIAGNOSTICO POR IMAGEM Year: 2022 Document type: Article Affiliation country: Taiwán Country of publication: Estados Unidos