Advantages of deep learning reconstruction algorithm in ultra-high-resolution CT for the diagnosis of pancreatic cystic neoplasm.

Abstract

Authors

• Keitaro Sofue
  Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe City, Hyogo 650-0017, Japan.
• Yoshiko Ueno
  Department of Radiology, Royal Victoria Hospital, McGill University Health Centre, 1001 Decarie Blvd, Montreal, QC, H4A 3J1, Canada.
• Shinji Yabe
  Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.
• Eisuke Ueshima
  Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.
• Takeru Yamaguchi
  Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2, Kusunoki-cho, Chuo-ku, Kobe, 650-0017, Japan.
• Atsuhiro Masuda
  Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
• Arata Sakai
  Division of Gastroenterology, Department of Internal Medicine, Kobe University Graduate School of Medicine, Kobe, Japan.
• Hirochika Toyama
  Division of Hepato-Biliary-Pancreatic Surgery Department of Surgery Kobe University Graduate School of Medicine Kobe Japan.
• Takumi Fukumoto
  Division of Hepato-Biliary-Pancreatic Surgery Department of Surgery Kobe University Graduate School of Medicine Kobe Japan.
• Masatoshi Hori
  Department of Radiology, Graduate School of Medicine, Osaka University, 2-2 Yamadaoka, Suita, Osaka 565-0871, Japan.
• Takamichi Murakami
  Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-cho, Chuo-ku, Kobe City, Hyogo 650-0017, Japan.

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