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Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomography.
Narita, Keigo; Nakamura, Yuko; Higaki, Toru; Akagi, Motonori; Honda, Yukiko; Awai, Kazuo.
Affiliation
  • Narita K; Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
  • Nakamura Y; Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan. yukon@hiroshima-u.ac.jp.
  • Higaki T; Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
  • Akagi M; Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
  • Honda Y; Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
  • Awai K; Diagnostic Radiology, Hiroshima University, 1-2-3 Kasumi, Minami-ku, Hiroshima, 734-8551, Japan.
Abdom Radiol (NY) ; 45(9): 2698-2704, 2020 09.
Article in En | MEDLINE | ID: mdl-32248261
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Full text: 1 Database: MEDLINE Main subject: Deep Learning Type of study: Observational_studies / Qualitative_research Limits: Humans Language: En Journal: Abdom Radiol (NY) Year: 2020 Type: Article Affiliation country: Japan
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Full text: 1 Database: MEDLINE Main subject: Deep Learning Type of study: Observational_studies / Qualitative_research Limits: Humans Language: En Journal: Abdom Radiol (NY) Year: 2020 Type: Article Affiliation country: Japan