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A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-s...

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-s...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8566098

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

About this item

Full title

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2021-12, Vol.139, p.105014-105014, Article 105014

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

AbstractCoronavirus disease-19 (COVID-19) is a severe respiratory viral disease first reported in late 2019 that has spread worldwide. Although some wealthy countries have made significant progress in detecting and containing this disease, most underdeveloped countries are still struggling to identify COVID-19 cases in large populations. With the r...

Alternative Titles

Full title

A deep learning approach using effective preprocessing techniques to detect COVID-19 from chest CT-scan and X-ray images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8566098

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_8566098

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2021.105014

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