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Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images

Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2753663969

Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images

About this item

Full title

Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2023-01, Vol.152, p.106331-106331, Article 106331

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

AbstractIn this era of Coronavirus disease 2019 (COVID-19), an accurate method of diagnosis with less diagnosis time and cost can effectively help in controlling the disease spread with the new variants taking birth from time to time. In order to achieve this, a two-dimensional (2D) tunable Q-wavelet transform (TQWT) based on a memristive crossbar...

Alternative Titles

Full title

Automatic diagnosis of COVID-19 with MCA-inspired TQWT-based classification of chest X-ray images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2753663969

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2753663969

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2022.106331

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