Deep Learning for the Detection of Breast Cancers on Chest Computed Tomography.

Journal: Clinical breast cancer
Published Date: May 5, 2021

Abstract

BACKGROUND: Incidental breast cancers can be detected on chest computed tomography (CT) scans. With the use of deep learning, the sensitivity of incidental breast cancer detection on chest CT would improve. This study aimed to evaluate the performance of a deep learning algorithm to detect breast cancers on chest CT and to validate the results in the internal and external datasets.

Authors

  • Jieun Koh
    Department of Radiology, CHA Bundang Medical Center, CHA University, Seongnam, Korea; Department of Radiology, CHA Ilsan Medical Center, CHA University, Goyang, Korea.
  • Youngno Yoon
    Department of Radiology, Gangnam Severance Hospital, Yonsei University College of Medicine, Seoul, 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.).
  • Eun-Kyung Kim
    Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, CHA Bundang Medical Center, CHA University, Seongnam, Korea.

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