Accuracy of deep learning for automated detection of pneumonia using chest X-Ray images: A systematic review and meta-analysis.

Journal: Computers in biology and medicine
Published Date: Jul 14, 2020

Abstract

BACKGROUND: Recently, deep learning (DL) algorithms have received widespread popularity in various medical diagnostics. This study aimed to evaluate the diagnostic performance of DL models in the detection and classifying of pneumonia using chest X-ray (CXR) images.

Authors

  • Yuanyuan Li
    Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, State Key Laboratory of Environmental Health (Incubation), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
  • Zhenyan Zhang
    Department of Imaging, Yidu Central Hospital of Weifang, Weifang, 262500, China.
  • Cong Dai
    Department of Imaging, Yidu Central Hospital of Weifang, Weifang, 262500, China.
  • Qiang Dong
    Department of Neurology, Huashan Hospital, Fudan University, Shanghai, China.
  • Samireh Badrigilan
    Department of Medical Physics, Kermanshah University of Medical Sciences, Kermanshah, Iran.

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