Detection of fibrosing interstitial lung disease-suspected chest radiographs using a deep learning-based computer-aided detection system: a retrospective, observational study.

Abstract

Authors

• Jumpei Ukita
  Mental Health Research Course, Faculty of Medicine, The University of Tokyo, Tokyo, Japan.
• Hirotaka Nishikiori
  Department of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, Sapporo, Japan.
• Kenichi Hirota
  Department of Medical Information Planning, Sapporo Medical University Hospital, Sapporo, Japan.
• Seiwa Honda
  Nonprofit Organization (NPO) Nagoya Orthopedic Regional Healthcare Support Center, AI Research Division, Meitohonmachi 2-22-1, Meito-ward, Nagoya, Japan.
• Kiwamu Hatanaka
  Device and Application Development Support Center, Mediscience Planning, Inc, Tokyo, Japan.
• Ryoji Nakamura
  Inter Scientific Research Co., Ltd, Tokyo, Japan.
• Kimiyuki Ikeda
  Department of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, Sapporo, Japan.
• Yuki Mori
  Graduate School of Human-Environment Studies, Kyushu University, Fukuoka, Japan.
• Yuichiro Asai
  Department of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, Sapporo, Japan.
• Hirofumi Chiba
  Department of Respiratory Medicine and Allergology, Sapporo Medical University School of Medicine, Sapporo, Japan.
• Keisuke Ogaki
  M3 Inc, Tokyo, Japan.

Keywords

External Resources