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Machine-learning classification of texture features of portable chest X-ray accurately classifies CO...

Machine-learning classification of texture features of portable chest X-ray accurately classifies CO...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7686836

Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection

About this item

Full title

Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection

Publisher

England: BioMed Central Ltd

Journal title

Biomedical engineering online, 2020-11, Vol.19 (1), p.88-88, Article 88

Language

English

Formats

Publication information

Publisher

England: BioMed Central Ltd

More information

Scope and Contents

Contents

The large volume and suboptimal image quality of portable chest X-rays (CXRs) as a result of the COVID-19 pandemic could post significant challenges for radiologists and frontline physicians. Deep-learning artificial intelligent (AI) methods have the potential to help improve diagnostic efficiency and accuracy for reading portable CXRs.
The stud...

Alternative Titles

Full title

Machine-learning classification of texture features of portable chest X-ray accurately classifies COVID-19 lung infection

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7686836

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7686836

Other Identifiers

ISSN

1475-925X

E-ISSN

1475-925X

DOI

10.1186/s12938-020-00831-x

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