Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function Data.

Journal: International journal of chronic obstructive pulmonary disease
Published Date:

Abstract

BACKGROUND: Chronic obstructive pulmonary disease (COPD), the third leading cause of death worldwide, is often underdiagnosed.

Authors

  • Joyce D Schroeder
    Department of Radiology and Imaging Sciences, School of Medicine, University of Utah, Salt Lake City, UT, USA.
  • Ricardo Bigolin Lanfredi
    Department of Electrical and Computer Engineering, Scientific Computing and Imaging Institute (SCI), University of Utah, Salt Lake City, UT, USA.
  • Tao Li
    Department of Emergency Medicine, Jining No.1 People's Hospital, Jining, China.
  • Jessica Chan
    Department of Radiology and Imaging Sciences, School of Medicine, University of Utah, Salt Lake City, UT, USA.
  • Clement Vachet
    Biomedical Imaging and Data Analytics Core, SCI, University of Utah, Salt Lake City, UT, USA.
  • Robert Paine Iii
    Division of Pulmonary and Critical Care Medicine, School of Medicine, University of Utah, Salt Lake City, UT, USA.
  • Vivek Srikumar
    University of Utah, School of Computing, 50S. Central Campus Drive Room 3190, Salt Lake City, UT, United States. Electronic address: svivek@cs.utah.edu.
  • Tolga Tasdizen
    Scientific Computing and Imaging Institute, University of Utah, SLC, UT, USA.