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Original research
Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography

Authors

  1. Correspondence to Dr Jiantao Pu, Departments of Radiology and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, Pennsylvania, USA; jip13{at}pitt.edu
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Citation

Wang X, Yu J, Zhu Q, et al
Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography

Publication history

  • Received December 24, 2019
  • Revised April 30, 2020
  • Accepted May 11, 2020
  • First published May 29, 2020.
Online issue publication 
August 13, 2020

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