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VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations

VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_817ebc9659b64d40ade23de3d55d6e47

VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations

About this item

Full title

VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations

Publisher

London: Nature Publishing Group UK

Journal title

Scientific data, 2022-07, Vol.9 (1), p.429-7, Article 429

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Most of the existing chest X-ray datasets include labels from a list of findings without specifying their locations on the radiographs. This limits the development of machine learning algorithms for the detection and localization of chest abnormalities. In this work, we describe a dataset of more than 100,000 chest X-ray scans that were retrospecti...

Alternative Titles

Full title

VinDr-CXR: An open dataset of chest X-rays with radiologist’s annotations

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_817ebc9659b64d40ade23de3d55d6e47

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_817ebc9659b64d40ade23de3d55d6e47

Other Identifiers

ISSN

2052-4463

E-ISSN

2052-4463

DOI

10.1038/s41597-022-01498-w

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