Article info
Methodology
Original research
Potential of deep learning in assessing pneumoconiosis depicted on digital chest radiography
- Correspondence to Dr Jiantao Pu, Departments of Radiology and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, Pennsylvania, USA; jip13{at}pitt.edu
Citation
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
Article Versions
- Previous version (13 August 2020).
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© Author(s) (or their employer(s)) 2020. No commercial re-use. See rights and permissions. Published by BMJ.