[New Method of Paired Comparison for Improved Observer Shortage Using Deep Learning Models].

Journal: Nihon Hoshasen Gijutsu Gakkai zasshi
Published Date: May 17, 2024

Abstract

PURPOSE: The aim of this study was to validate the potential of substituting an observer in a paired comparison with a deep-learning observer.

Authors

  • Nariaki Tabata
    Department of Radiology, Fukuoka University Chikushi Hospital.
  • Tetsuya Ijichi
    Department of Radiology, Fukuoka University Chikushi Hospital.
  • Hirotaka Itai
    Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University.
  • Masaru Tateishi
    Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University.
  • Kento Kita
    Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University.
  • Asami Obata
    Department of Radiology, Fukuoka University Chikushi Hospital.
  • Yuna Kawahara
    Department of Radiology, Fukuoka University Chikushi Hospital.
  • Lisa Sonoda
    Department of Radiology, Fukuoka University Chikushi Hospital.
  • Shinichi Katou
    Department of Radiology, Fukuoka University Chikushi Hospital.
  • Toshirou Inoue
    Department of Radiology, Fukuoka University Chikushi Hospital.
  • Tadamitsu Ideguchi
    Department of Health Sciences, Faculty of Medical Sciences, Kyushu University.

Keywords

External Resources

Popular Topics
Recent Journals