Improving clinical disease subtyping and future events prediction through a chest CT-based deep learning approach.

Journal: Medical physics
Published Date: Jan 27, 2021

Abstract

PURPOSE: To develop and evaluate a deep learning (DL) approach to extract rich information from high-resolution computed tomography (HRCT) of patients with chronic obstructive pulmonary disease (COPD).

Authors

  • Sumedha Singla
    School of Computing and Information, University of Pittsburgh, Pittsburgh, PA, 15213, USA.
  • Mingming Gong
    School of Mathematics and Statistics, The University of Melbourne, Parkville, VIC 3010, Australia.
  • Craig Riley
    Chester County Hospital, University of Pennsylvania Health System, West Chester, PA, USA.
  • Frank Sciurba
    Department of Medicine, University of Pittsburgh Medical Center, Pittsburgh, PA, 15213, USA.
  • Kayhan Batmanghelich
    Department of Electrical and Computer Engineering, Boston University, Boston, MA, USA.

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