Deep learning algorithm for detection of aortic dissection on non-contrast-enhanced CT.

Abstract

Authors

• Akinori Hata
  Department of Radiology, Osaka University Graduate School of Medicine.
• Masahiro Yanagawa
  Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
• Kazuki Yamagata
  Department of Artificial Intelligence Diagnostic Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
• Yuuki Suzuki
  Department of Artificial Intelligence Diagnostic Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
• Shoji Kido
  Graduate School of Medicine, Yamaguchi University, Tokiwadai 2-16-1, Ube, Yamaguchi, 755-8611, Japan.
• Atsushi Kawata
  Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
• Shuhei Doi
  Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
• Yuriko Yoshida
  Department of Cardiovascular Medicine, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo, 113-8655, Japan.
• Tomo Miyata
  Department of Diagnostic and Interventional Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
• Mitsuko Tsubamoto
  Department of Future Diagnostic Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
• Noriko Kikuchi
  Department of Radiology, Osaka University Graduate School of Medicine.
• Noriyuki Tomiyama
  Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.

Keywords

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