ORIGINAL RESEARCH article

Front. Public Health, 10 August 2021

Sec. Digital Public Health

Volume 9 - 2021 | https://doi.org/10.3389/fpubh.2021.726144

RETRACTED: Deep Fractional Max Pooling Neural Network for COVID-19 Recognition

  • 1. School of Mathematics and Actuarial Science, University of Leicester, Leicester, United Kingdom

  • 2. School of Computer Engineering, KIIT Deemed to University, Bhubaneswar, India

  • 3. Nursing Department, The Fourth People's Hospital of Huai'an, Huai'an, China

  • 4. School of Informatics, University of Leicester, Leicester, United Kingdom

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This article has been retracted.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, Satapathy SC, Anderson D, Chen S-X and Zhang Y-D (2021) RETRACTED: Deep Fractional Max Pooling Neural Network for COVID-19 Recognition. Front. Public Health 9:726144. doi: 10.3389/fpubh.2021.726144

Received

16 June 2021

Accepted

09 July 2021

Published

10 August 2021

Volume

9 - 2021

Edited by

B. Janakiramaiah, Prasad V. Potluri Siddhartha Institute of Technology, India

Reviewed by

Dimas Lima, Federal University of Santa Catarina, Brazil; Daoyan Lu, Nanjing Medical University, China

Updates

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

†These authors have contributed equally to this work

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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