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COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in...

COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2691782981

COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in Chest X-ray Images

About this item

Full title

COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in Chest X-ray Images

Publisher

Henderson: Tech Science Press

Journal title

Computers, materials & continua, 2021, Vol.67 (2), p.2409-2429

Language

English

Formats

Publication information

Publisher

Henderson: Tech Science Press

More information

Scope and Contents

Contents

Coronavirus (COVID-19) epidemic outbreak has devastating effects on daily lives and healthcare systems worldwide. This newly recognized virus is highly transmissible, and no clinically approved vaccine or antiviral medicine is currently available. Early diagnosis of infected patients through effective screening is needed to control the rapid spread...

Alternative Titles

Full title

COVID-DeepNet: Hybrid Multimodal Deep Learning System for Improving COVID-19 Pneumonia Detection in Chest X-ray Images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2691782981

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2691782981

Other Identifiers

ISSN

1546-2226,1546-2218

E-ISSN

1546-2226

DOI

10.32604/cmc.2021.012955

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