Guest Editorial: Advanced Deep Learning Techniques for COVID-19

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

Research output: Contribution to journalReview articlepeer-review

1 Citation (Scopus)
13 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 languageEnglish
Article number9382835
Pages (from-to)6476-6479
Number of pages4
JournalIEEE Transactions on Industrial Informatics
Volume17
Issue number9
DOIs
Publication statusPublished - 1 Sep 2021

Bibliographical note

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