DenResCov-19: a deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays

Mamalakis, M. orcid.org/0000-0002-4276-4119, Swift, A.J., Vorselaars, B. et al. (6 more authors) (2021) DenResCov-19: a deep transfer learning network for robust automatic classification of COVID-19, pneumonia, and tuberculosis from X-rays. Computerized Medical Imaging and Graphics, 94. 102008. ISSN 0895-6111

Abstract

Metadata

Authors/Creators:
Copyright, Publisher and Additional Information: © 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
Keywords: COVID-19; Pneumonia; Chest X-rays; Deep transfer learning network; Automatic classification; Tuberculosis
Dates:
  • Accepted: 18 October 2021
  • Published (online): 23 October 2021
  • Published: December 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
WELLCOME TRUST (THE)205188/Z/16/Z
Depositing User: Symplectic Sheffield
Date Deposited: 24 Nov 2021 18:28
Last Modified: 24 Nov 2021 18:28
Status: Published
Publisher: Elsevier BV
Refereed: Yes
Identification Number: https://doi.org/10.1016/j.compmedimag.2021.102008
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