Deep Learning Empowers Lung Cancer Screening Based on Mobile Low-Dose Computed Tomography in Resource-Constrained Sites.

Journal: Frontiers in bioscience (Landmark edition)
Published Date: Jul 4, 2022

Abstract

BACKGROUND: Existing challenges of lung cancer screening included non-accessibility of computed tomography (CT) scanners and inter-reader variability, especially in resource-limited areas. The combination of mobile CT and deep learning technique has inspired innovations in the routine clinical practice.

Authors

  • Jun Shao
    Department of Pulmonary and Critical Care Medicine, Med-X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
  • Gang Wang
    National Clinical Research Center for Mental Disorders & Beijing Key Laboratory of Mental Disorders, Beijing Anding Hospital, Capital Medical University, Beijing, China.
  • Le Yi
    Machine Intelligence Laboratory, College of Computer Science, Sichuan University, 610065 Chengdu, Sichuan, China.
  • Chengdi Wang
    Department of Pulmonary and Critical Care Medicine, Med-X Center for Manufacturing, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China.
  • Tianzhong Lan
    Machine Intelligence Laboratory, College of Computer Science, Sichuan University, 610065 Chengdu, Sichuan, China.
  • Xiuyuan Xu
  • Jixiang Guo
  • Taibing Deng
    Department of Respiratory Disease, Guang'An Hospital, 638001 Guangan, Sichuan, China.
  • Dan Liu
    Department of Bioengineering, Temple University, Philadelphia, PA, United States.
  • Bojiang Chen
    Department of Respiratory and Critical Care Medicine, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, West China School of Medicine, Sichuan University, 610041 Chengdu, Sichuan, China.
  • Zhang Yi
  • Weimin Li
    Department of Psychiatry, Sleep Medicine Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.

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