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Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19...

Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2740514269

Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19 detection from chest X-ray images

About this item

Full title

Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19 detection from chest X-ray images

Publisher

United States: Elsevier Ltd

Journal title

Computers in biology and medicine, 2022-12, Vol.151 (Pt A), p.106324-106324, Article 106324

Language

English

Formats

Publication information

Publisher

United States: Elsevier Ltd

More information

Scope and Contents

Contents

AbstractNumerous machine learning and image processing algorithms, most recently deep learning, allow the recognition and classification of COVID-19 disease in medical images. However, feature extraction, or the semantic gap between low-level visual information collected by imaging modalities and high-level semantics, is the fundamental shortcoming...

Alternative Titles

Full title

Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19 detection from chest X-ray images

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_miscellaneous_2740514269

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2740514269

Other Identifiers

ISSN

0010-4825

E-ISSN

1879-0534

DOI

10.1016/j.compbiomed.2022.106324

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