Your browser doesn't support javascript.
loading
Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study.
Ohno, Yoshiharu; Akino, Naruomi; Fujisawa, Yasuko; Kimata, Hirona; Ito, Yuya; Fujii, Kenji; Kataoka, Yumi; Ida, Yoshihiro; Oshima, Yuka; Hamabuchi, Nayu; Shigemura, Chika; Watanabe, Ayumi; Obama, Yuki; Hanamatsu, Satomu; Ueda, Takahiro; Ikeda, Hirotaka; Murayama, Kazuhiro; Toyama, Hiroshi.
  • Ohno Y; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan. yohno@fujita-hu.ac.jp.
  • Akino N; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan. yohno@fujita-hu.ac.jp.
  • Fujisawa Y; Canon Medical Systems Corporation, Otawara, Tochigi, Japan.
  • Kimata H; Canon Medical Systems Corporation, Otawara, Tochigi, Japan.
  • Ito Y; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
  • Fujii K; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
  • Kataoka Y; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
  • Ida Y; Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan.
  • Oshima Y; Department of Radiology, Fujita Health University Hospital, Toyoake, Aichi, Japan.
  • Hamabuchi N; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Shigemura C; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Watanabe A; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Obama Y; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Hanamatsu S; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Ueda T; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Ikeda H; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Murayama K; Department of Radiology, Fujita Health University School of Medicine, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake, Aichi, 470-1192, Japan.
  • Toyama H; Joint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Eur Radiol ; 33(1): 368-379, 2023 Jan.
Article en En | MEDLINE | ID: mdl-35841417
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Search on Google

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Aprendizaje Profundo Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article