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Virtual Interpolation Images of Tumor Development and Growth on Breast Ultrasound Image Synthesis With Deep Convolutional Generative Adversarial Networks.
Fujioka, Tomoyuki; Kubota, Kazunori; Mori, Mio; Katsuta, Leona; Kikuchi, Yuka; Kimura, Koichiro; Kimura, Mizuki; Adachi, Mio; Oda, Goshi; Nakagawa, Tsuyoshi; Kitazume, Yoshio; Tateishi, Ukihide.
Afiliação
  • Fujioka T; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kubota K; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.
  • Mori M; Department of Radiology, Dokkyo Medical University, Tochigi, Japan.
  • Katsuta L; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kikuchi Y; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kimura K; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kimura M; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.
  • Adachi M; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.
  • Oda G; Department of Surgery, Division of Breast Surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Nakagawa T; Department of Surgery, Division of Breast Surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Kitazume Y; Department of Surgery, Division of Breast Surgery, Tokyo Medical and Dental University, Tokyo, Japan.
  • Tateishi U; Department of Diagnostic Radiology, Tokyo Medical and Dental University, Tokyo, Japan.
J Ultrasound Med ; 40(1): 61-69, 2021 Jan.
Article em En | MEDLINE | ID: mdl-32592409
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Redes Neurais de Computação Tipo de estudo: Observational_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Redes Neurais de Computação Tipo de estudo: Observational_studies / Prognostic_studies Limite: Female / Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article