ORIGINAL RESEARCH article

Front. Public Health, 29 October 2021

Sec. Digital Public Health

Volume 9 - 2021 | https://doi.org/10.3389/fpubh.2021.768278

RETRACTED: PSCNN: PatchShuffle Convolutional Neural Network for COVID-19 Explainable Diagnosis

  • 1. School of Computing and Mathematical Sciences, University of Leicester, Leicester, United Kingdom

  • 2. Science in Civil Engineering, University of Florida, Gainesville, FL, United States

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This article has been retracted. Please follow the link to the full retraction notice for details.

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Citation

Wang S-H, Zhu Z and Zhang Y-D (2021) RETRACTED: PSCNN: PatchShuffle Convolutional Neural Network for COVID-19 Explainable Diagnosis. Front. Public Health 9:768278. doi: 10.3389/fpubh.2021.768278

Received

31 August 2021

Accepted

29 September 2021

Published

29 October 2021

Volume

9 - 2021

Edited by

Shuai Li, Swansea University, United Kingdom

Reviewed by

D Lv, Nanjing Medical University, China; Mackenzie S. Brown, Edith Cowan University, Australia

Updates

†These authors have contributed equally to this work

This article was submitted to Digital Public Health, a section of the journal Frontiers in Public Health

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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