Guest Editorial: Advanced Deep Learning Techniques for COVID-19

Victor Chang; Mohamed Abdel-Basset; Rahat Iqbal; Gary Wills

doi:10.1109/TII.2021.3067670

Guest Editorial: Advanced Deep Learning Techniques for COVID-19

Victor Chang
, Mohamed Abdel-Basset
, Rahat Iqbal
, Gary Wills

Zagazig University
Coventry University
University of Southampton

Research output: Contribution to journal › Editorial › peer-review

8 Citations (Scopus)

19 Downloads (Pure)

Abstract

The recent diagnosis of COVID-19 is based on real-Time reverse-Transcriptase polymerase chain reaction (RT-PCR) and is regarded as the gold standard for confirmation of infection. It has already been widely recognized that deep learning techniques can potentially have a substantial role in streamlining and accelerating the diagnosis of COVID-19 patients. Numerous open dataset enterprises have been set up over the past weeks to help the researchers develop and check methods that could contribute to countering the Corona pandemic. In order to report the above unique problems in the diagnosis of COVID-19, pioneering techniques should be developed. This special issue focuses on novel deep learning imaging analysis techniques related to COVID-19.

Original language	English
Article number	9382835
Pages (from-to)	6476-6479
Number of pages	4
Journal	IEEE Transactions on Industrial Informatics
Volume	17
Issue number	9
Early online date	22 Mar 2021
DOIs	https://doi.org/10.1109/TII.2021.3067670
Publication status	Published - 1 Sept 2021

Bibliographical note

© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

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10.1109/TII.2021.3067670

Advanced Deep Learning Techniques for COVID-19
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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Cite this

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Guest Editorial: Advanced Deep Learning Techniques for COVID-19

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