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Densely connected convolutional networks-based COVID-19 screening model

Densely connected convolutional networks-based COVID-19 screening model

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7867501

Densely connected convolutional networks-based COVID-19 screening model

About this item

Full title

Densely connected convolutional networks-based COVID-19 screening model

Publisher

New York: Springer US

Journal title

Applied intelligence (Dordrecht, Netherlands), 2021-05, Vol.51 (5), p.3044-3051

Language

English

Formats

Publication information

Publisher

New York: Springer US

More information

Scope and Contents

Contents

The extensively utilized tool to detect novel coronavirus (COVID-19) is a real-time polymerase chain reaction (RT-PCR). However, RT-PCR kits are costly and consume critical time, around 6 to 9 hours to classify the subjects as COVID-19(+) or COVID-19(-). Due to the less sensitivity of RT-PCR, it suffers from high false-negative results. To overcome...

Alternative Titles

Full title

Densely connected convolutional networks-based COVID-19 screening model

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7867501

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7867501

Other Identifiers

ISSN

0924-669X

E-ISSN

1573-7497

DOI

10.1007/s10489-020-02149-6

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