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

Wang, Shui-Hua; Satapathy, Suresh Chandra; Anderson, Donovan; Chen, Shi-Xin; Zhang, Yu-Dong

doi:10.3389/fpubh.2021.726144

ORIGINAL RESEARCH article

Front. Public Health , 10 August 2021

Sec. Digital Public Health

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

This article is part of the Research Topic Emerging Challenges for Deep Learning in Dealing with Biomedical and Healthcare Data View all 5 articles

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

Retracted

A retraction of this article was approved in:

Retraction: Deep fractional max pooling neural network for COVID-19 recognition
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$\nShui-Hua Wang&#x;$ Shui-Hua Wang¹^†

Suresh Chandra Satapathy²^†

Donovan Anderson¹

Shi-Xin Chen³^*

Yu-Dong Zhang⁴^*

¹School of Mathematics and Actuarial Science, University of Leicester, Leicester, United Kingdom
²School of Computer Engineering, KIIT Deemed to University, Bhubaneswar, India
³Nursing Department, The Fourth People's Hospital of Huai'an, Huai'an, China
⁴School of Informatics, University of Leicester, Leicester, United Kingdom

This article has been retracted.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

Citation: Wang S-H, Satapathy SC, Anderson D, Chen S-X and Zhang Y-D (2021) 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; Retracted: 03 January 2024.

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

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

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