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A Comparative Evaluation between Convolutional Neural Networks and Vision Transformers for COVID-19...

A Comparative Evaluation between Convolutional Neural Networks and Vision Transformers for COVID-19...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_405e5551ee3648d7b5cf83c0c1f6b9dd

A Comparative Evaluation between Convolutional Neural Networks and Vision Transformers for COVID-19 Detection

About this item

Full title

A Comparative Evaluation between Convolutional Neural Networks and Vision Transformers for COVID-19 Detection

Publisher

Basel: MDPI AG

Journal title

Mathematics (Basel), 2023-03, Vol.11 (6), p.1489

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Early illness detection enables medical professionals to deliver the best care and increases the likelihood of a full recovery. In this work, we show that computer-aided design (CAD) systems are capable of using chest X-ray (CXR) medical imaging modalities for the identification of respiratory system disorders. At present, the COVID-19 pandemic is...

Alternative Titles

Full title

A Comparative Evaluation between Convolutional Neural Networks and Vision Transformers for COVID-19 Detection

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_405e5551ee3648d7b5cf83c0c1f6b9dd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_405e5551ee3648d7b5cf83c0c1f6b9dd

Other Identifiers

ISSN

2227-7390

E-ISSN

2227-7390

DOI

10.3390/math11061489

How to access this item