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 |
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Article number | 9382835 |
Pages (from-to) | 6476-6479 |
Number of pages | 4 |
Journal | IEEE Transactions on Industrial Informatics |
Volume | 17 |
Issue number | 9 |
DOIs | |
Publication status | Published - 1 Sept 2021 |
Bibliographical note
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