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LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from c...

LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from c...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9561436

LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images

About this item

Full title

LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2022-11, Vol.150, p.106195-106195, Article 106195

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

AbstractAccording to the World Health Organization, an estimate of more than five million infections and 355,000 deaths have been recorded worldwide since the emergence of the coronavirus disease (COVID-19). Various researchers have developed interesting and effective deep learning frameworks to tackle this disease. However, poor feature extraction...

Alternative Titles

Full title

LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9561436

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9561436

Other Identifiers

ISSN

0010-4825,1879-0534

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2022.106195

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