IEEE Transactions on Industrial Informatics (Journal)

Victor Chang (Guest Editor), Mohamed Abdel-Basse (Guest Editor), Iqbal, R. (Guest Editor), Gary Wills (Guest Editor)

Activity: Publication peer-review and editorial workEditorial activity


Special issue: The most serious issue that concerns the world during this period is the outbreak of the novel Coronavirus (COVID-19). The rapid spread of the virus around the world poses a real threat to all countries, as a result of that, researchers must pay attention to studying the details of this calamity. COVID-19 symptoms may be similar to other viral chest diseases in some of the symptoms that may cause the doctor's uncertainty in making the correct diagnosis decision due to the novelty of this virus. The recent diagnosis of COVID-19 is based on real-time reverse-transcriptase polymerase chain reaction (RT-PCR) and 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 aid the researchers in developing and check methods that could contribute to countering the Corona pandemic. To report the above unique problems in diagnosis of COVID-19, pioneering techniques should be developed. This special issue focuses on novel deep learning imaging analysis techniques related to COVID-19. This special section provides a perfect platform to submit manuscripts that discuss the prospective developments and innovative ideas in deep learning techniques in the diagnosis of COVID-19.
Period1 Apr 20201 Sep 2021
Type of journalJournal