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Deep learning-based screening tool for rotator cuff tears on shoulder radiography.
Iio, Ryosuke; Ueda, Daiju; Matsumoto, Toshimasa; Manaka, Tomoya; Nakazawa, Katsumasa; Ito, Yoichi; Hirakawa, Yoshihiro; Yamamoto, Akira; Shiba, Masatsugu; Nakamura, Hiroaki.
Afiliação
  • Iio R; Department of Orthopaedic Surgery, Graduate School of Medicine, Osaka City University, Osaka, Japan; Department of Orthopaedic Surgery, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Ueda D; Smart Life Science Lab, Center for Health Science Innovation, Osaka Metropolitan University, Osaka, Japan; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Matsumoto T; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Manaka T; Department of Orthopaedic Surgery, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan. Electronic address: manakaT@omu.ac.jp.
  • Nakazawa K; Department of Orthopaedic Surgery, Graduate School of Medicine, Osaka City University, Osaka, Japan; Department of Orthopaedic Surgery, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Ito Y; Ito Clinic, Osaka Shoulder Center, Osaka, Japan.
  • Hirakawa Y; Department of Orthopaedic Surgery, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Yamamoto A; Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Shiba M; Smart Life Science Lab, Center for Health Science Innovation, Osaka Metropolitan University, Osaka, Japan; Department of Medical Statistics, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
  • Nakamura H; Department of Orthopaedic Surgery, Graduate School of Medicine, Osaka Metropolitan University, Osaka, Japan.
J Orthop Sci ; 2023 May 24.
Article em En | MEDLINE | ID: mdl-37236873

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article