A deep learning-based approach for the diagnosis of adrenal adenoma: a new trial using CT.

Journal: The British journal of radiology
Published Date: May 9, 2022

Abstract

OBJECTIVE: To develop and validate deep convolutional neural network (DCNN) models for the diagnosis of adrenal adenoma (AA) using CT.

Authors

  • Masaoki Kusunoki
    Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.
  • Tomohiro Nakayama
    Department of Pediatrics, Ibaraki Prefectural University of Health Sciences Hospital, Japan.
  • Akihiro Nishie
    Department of Radiology, Graduate School of Medical Science, University of the Ryukyus, 1076 Kiyuna, Ginowan-shi, Okinawa, 901-2720, Japan.
  • Yasuo Yamashita
    Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.
  • Kazufumi Kikuchi
    Department of Clinical Radiology, Kyushu University, Fukuoka, Japan.
  • Masatoshi Eto
    Department of Urology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
  • Yoshinao Oda
    Department of Anatomic Pathology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, 812-8582, Japan.
  • Kousei Ishigami
    Departments of Clinical Radiology, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.

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