Influence of deep learning-based super-resolution reconstruction on Agatston score.

Abstract

Authors

• Tomoro Morikawa
  Department of Radiology, National Cerebral and Cardiovascular Center, 6-1, Kishibe-Shimmachi, Suita, Osaka, 564-8565, Japan.
• Yuki Tanabe
  Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan. yuki.tanabe.0225@gmail.com.
• Hiroshi Suekuni
  Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan.
• Naoki Fukuyama
  Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.
• Wataru Toshimori
  Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, Japan.
• Hidetaka Toritani
  Ehime University School of Medicine, Shitsukawa, Toon City, Japan.
• Shun Sawada
  Department of Radiology, Ehime University Graduate School of Medicine, Toon, Japan.
• Takuya Matsuda
  Medical Informatics.
• Shota Nakano
  Canon Medical Systems Corporation, Otawara, Japan.
• Teruhito Kido
  Department of Radiology, Ehime University Graduate School of Medicine, Shitsukawa, Toon, Ehime, 791-0295, Japan.

Keywords

External Resources