Standalone deep learning versus experts for diagnosis lung cancer on chest computed tomography: a systematic review.

Journal: European radiology
Published Date: May 22, 2024

Abstract

PURPOSE: To compare the diagnostic performance of standalone deep learning (DL) algorithms and human experts in lung cancer detection on chest computed tomography (CT) scans.

Authors

  • Ting-Wei Wang
    Department of Medical Engineering, California Institute of Technology, Pasadena, CA 91125, USA.
  • Jia-Sheng Hong
    Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan.
  • Hwa-Yen Chiu
    Center of Sleep Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.
  • Heng-Sheng Chao
    Department of Chest Medicine, Taipei Veteran General Hospital, Taipei, Taiwan.
  • Yuh-Min Chen
    Department of Chest Medicine, Taipei Veterans General Hospital, Taipei, Taiwan; School of Medicine, National Yang-Ming University, Taipei, Taiwan.
  • Yu-Te Wu
    Department of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, Taipei, Taiwan. ytwu@ym.edu.tw.

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