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Study on method of organ section retention and tracking through deep learning in automated diagnostic and therapeutic robotics.
Fujibayashi, Takumi; Koizumi, Norihiro; Nishiyama, Yu; Watanabe, Yusuke; Zhou, Jiayi; Matsuyama, Momoko; Yamada, Miyu; Tsumura, Ryosuke; Yoshinaka, Kiyoshi; Matsumoto, Naoki; Tsukihara, Hiroyuki; Numata, Kazushi.
Afiliación
  • Fujibayashi T; The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Koizumi N; The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan. nkoizumi@ieee.org.
  • Nishiyama Y; The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Watanabe Y; The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Zhou J; The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Matsuyama M; The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Yamada M; The University of Electro-Communications, 1-5-1 Chofugaoka, Chofu, Tokyo, Japan.
  • Tsumura R; National Institute of Advanced Industrial Science and Technology (AIST), 1-2-1 Namiki, Tsukuba, Japan.
  • Yoshinaka K; National Institute of Advanced Industrial Science and Technology (AIST), 1-2-1 Namiki, Tsukuba, Japan.
  • Matsumoto N; Nihon University, 1-6 Kandasurugadai, Chiyoda-Ku, Tokyo, Japan.
  • Tsukihara H; The University of Tokyo, 7-3-1 Hongo, Bunkyo-Ku, Tokyo, Japan.
  • Numata K; Yokohama City University Medical Center, 4-57 Urafune-cho, Minami-ku, Yokohama, Kanagawa, Japan.
Int J Comput Assist Radiol Surg ; 18(11): 2101-2109, 2023 Nov.
Article en En | MEDLINE | ID: mdl-37249747
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Int J Comput Assist Radiol Surg Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Japón
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Revista: Int J Comput Assist Radiol Surg Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Japón