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Breast Ultrasound Image Synthesis using Deep Convolutional Generative Adversarial Networks.
Fujioka, Tomoyuki; Mori, Mio; Kubota, Kazunori; Kikuchi, Yuka; Katsuta, Leona; Adachi, Mio; Oda, Goshi; Nakagawa, Tsuyoshi; Kitazume, Yoshio; Tateishi, Ukihide.
Afiliación
  • Fujioka T; Department of Diagnostic Radiology, Tokyo Medical and Dental University Hospital 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8501, Japan.
  • Mori M; Department of Diagnostic Radiology, Tokyo Medical and Dental University Hospital 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8501, Japan.
  • Kubota K; Department of Diagnostic Radiology, Tokyo Medical and Dental University Hospital 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8501, Japan.
  • Kikuchi Y; Department of Radiology, Dokkyo Medical University Hospital, 880 Kitakobayashi, Mibu, Shimotsugagun, Tochigi 321-0293, Japan.
  • Katsuta L; Department of Diagnostic Radiology, Tokyo Medical and Dental University Hospital 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8501, Japan.
  • Adachi M; Department of Diagnostic Radiology, Tokyo Medical and Dental University Hospital 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8501, Japan.
  • Oda G; Department of Surgery, Breast Surgery, Tokyo Medical and Dental University Hospital 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8501, Japan.
  • Nakagawa T; Department of Surgery, Breast Surgery, Tokyo Medical and Dental University Hospital 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8501, Japan.
  • Kitazume Y; Department of Surgery, Breast Surgery, Tokyo Medical and Dental University Hospital 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8501, Japan.
  • Tateishi U; Department of Diagnostic Radiology, Tokyo Medical and Dental University Hospital 1-5-45, Yushima, Bunkyo-ku, Tokyo 113-8501, Japan.
Diagnostics (Basel) ; 9(4)2019 Nov 06.
Article en En | MEDLINE | ID: mdl-31698748
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Diagnostics (Basel) Año: 2019 Tipo del documento: Article País de afiliación: Japón Pais de publicación: Suiza