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Unenhanced abdominal low-dose CT reconstructed with deep learning-based image reconstruction: image quality and anatomical structure depiction.
Kaga, Tetsuro; Noda, Yoshifumi; Mori, Takayuki; Kawai, Nobuyuki; Miyoshi, Toshiharu; Hyodo, Fuminori; Kato, Hiroki; Matsuo, Masayuki.
Affiliation
  • Kaga T; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Noda Y; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan. noda1031@gifu-u.ac.jp.
  • Mori T; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Kawai N; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Miyoshi T; Department of Radiology Services, Gifu University Hospital, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Hyodo F; Department of Radiology, Frontier Science for Imaging, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Kato H; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Matsuo M; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
Jpn J Radiol ; 40(7): 703-711, 2022 Jul.
Article in En | MEDLINE | ID: mdl-35286578
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Observational_studies / Qualitative_research Limits: Humans Language: En Journal: Jpn J Radiol Year: 2022 Document type: Article
Fulltext
Print
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Deep Learning Type of study: Observational_studies / Qualitative_research Limits: Humans Language: En Journal: Jpn J Radiol Year: 2022 Document type: Article