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CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images

CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2587706552

CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images

About this item

Full title

CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images

Publisher

United States: Public Library of Science

Journal title

PloS one, 2021-10, Vol.16 (10), p.e0259179-e0259179

Language

English

Formats

Publication information

Publisher

United States: Public Library of Science

More information

Scope and Contents

Contents

This paper focuses on the application of deep learning (DL) in the diagnosis of coronavirus disease (COVID-19). The novelty of this work is in the introduction of
optimized InceptionResNetV2
for COVID-19 (CO-IRv2) method. A part of the CO-IRv2 scheme is derived from the concepts of InceptionNet and ResNet with hyperparameter tuning, while the...

Alternative Titles

Full title

CO-IRv2: Optimized InceptionResNetV2 for COVID-19 detection from chest CT images

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_plos_journals_2587706552

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_2587706552

Other Identifiers

ISSN

1932-6203

E-ISSN

1932-6203

DOI

10.1371/journal.pone.0259179

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