Development and multicenter validation of deep convolutional neural network-based detection of colorectal cancer on abdominal CT.

Journal: European radiology
PMID: 38300293

Abstract

OBJECTIVES: This study aims to develop computer-aided detection (CAD) for colorectal cancer (CRC) using abdominal CT based on a deep convolutional neural network.

Authors

  • Yeo Eun Han
    Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, 73 Goryeodae-ro, Seongbuk-gu, Seoul, Republic of Korea (N.Y.H., M.J.K., B.J.P., K.C.S., Y.E.H., D.J.S.).
  • Yongwon Cho
    Department of Convergence Medicine, Asan Medical Center, College of Medicine, University of Ulsan, 88, Olympic-ro 43-gil, Seoul, 05505, South Korea.
  • Beom Jin Park
    Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, 73 Goryeodae-ro, Seongbuk-gu, Seoul, Republic of Korea (N.Y.H., M.J.K., B.J.P., K.C.S., Y.E.H., D.J.S.).
  • Min Ju Kim
    Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, 73 Goryeodae-ro, Seongbuk-gu, Seoul, Republic of Korea (N.Y.H., M.J.K., B.J.P., K.C.S., Y.E.H., D.J.S.). Electronic address: mjkim7@korea.ac.kr.
  • Ki Choon Sim
    Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, 73 Goryeodae-ro, Seongbuk-gu, Seoul, Republic of Korea (N.Y.H., M.J.K., B.J.P., K.C.S., Y.E.H., D.J.S.).
  • Deuk Jae Sung
    Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, 73 Goryeodae-ro, Seongbuk-gu, Seoul, Republic of Korea (N.Y.H., M.J.K., B.J.P., K.C.S., Y.E.H., D.J.S.).
  • Na Yeon Han
    Department of Radiology, Korea University Anam Hospital, Korea University College of Medicine, 73 Goryeodae-ro, Seongbuk-gu, Seoul, Republic of Korea (N.Y.H., M.J.K., B.J.P., K.C.S., Y.E.H., D.J.S.).
  • Jongmee Lee
    Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-Ro, Guro-Gu, Seoul, 08308, Republic of Korea.
  • Yang Shin Park
    Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-Ro, Guro-Gu, Seoul, 08308, Republic of Korea.
  • Suk Keu Yeom
    Department of Radiology, Korea University Ansan Hospital, Korea University College of Medicine, 123, Jeokgeum-ro, Danwon-gu, Ansan-si, Gyeonggi-do, Republic of Korea (S.K.Y.).
  • Jin Kim
  • Hyonggin An
    Department of Biostatistics, Korea University College of Medicine, 73 Goryeodae-Ro, Seongbuk-Gu, Seoul, 02841, Republic of Korea.
  • Kyuhyup Oh
    Bio Medical Research Center, Korea Testing Laboratory.

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