Diagnostic Performance of Deep Learning-Based Lesion Detection Algorithm in CT for Detecting Hepatic Metastasis from Colorectal Cancer.

Journal: Korean journal of radiology
Published Date:

Abstract

OBJECTIVE: To compare the performance of the deep learning-based lesion detection algorithm (DLLD) in detecting liver metastasis with that of radiologists.

Authors

  • Kiwook Kim
    Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Research Institute of Radiological Science, Center for Clinical Imaging Data Science, Seoul, South Korea.
  • Sungwon Kim
    Department of Railroad Construction and Safety Engineering, Dongyang University, Yeongju, Republic of Korea.
  • Kyunghwa Han
    From the Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88 Olympic-ro 43-gil, Songpa-gu, Seoul 05505, South Korea (S.H.P.); and Department of Radiology, Research Institute of Radiological Science, Yonsei University College of Medicine, Seoul, South Korea (K.H.).
  • Heejin Bae
    Department of Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
  • Jaeseung Shin
  • Joon Seok Lim
    Department of Radiology, Research Institute of Radiological Science and Center for Clinical Image Data Science, Severance Hospital, Yonsei University College of Medicine, Seoul, Korea.