Lesion-aware convolutional neural network for chest radiograph classification.

Journal: Clinical radiology
Published Date: Oct 16, 2020

Abstract

AIM: To investigate the performance of a deep-learning approach termed lesion-aware convolutional neural network (LACNN) to identify 14 different thoracic diseases on chest X-rays (CXRs).

Authors

  • F Li
  • J-X Shi
    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • L Yan
    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • Y-G Wang
    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • X-D Zhang
    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China.
  • M-S Jiang
    School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai, China. Electronic address: jiangmsc@gmail.com.
  • Z-Z Wu
    Department of Precision Mechanical Engineering, Shanghai University, Shanghai, China.
  • K-Q Zhou
    Liver Cancer Institute, Zhongshan Hospital, Shanghai, China.

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