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Interpretable attention-based deep learning ensemble for personalized ovarian cancer treatment without manual annotations.
Wang, Ching-Wei; Lee, Yu-Ching; Lin, Yi-Jia; Chang, Chun-Chieh; Sai, Aung-Kyaw-Oo; Wang, Chih-Hung; Chao, Tai-Kuang.
Afiliación
  • 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.
  • 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.
  • Chang CC; Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan.
  • Sai AK; 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, Taipei, Taiwan; Department of Otolaryngology-Head and Neck Surgery, 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 ; 107: 102233, 2023 07.
Article en En | MEDLINE | ID: mdl-37075618
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Aprendizaje Profundo Tipo de estudio: Guideline / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Comput Med Imaging Graph Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Taiwán
Texto completo
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Aprendizaje Profundo Tipo de estudio: Guideline / Prognostic_studies Límite: Female / Humans Idioma: En Revista: Comput Med Imaging Graph Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2023 Tipo del documento: Article País de afiliación: Taiwán