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Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learnin...

Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learnin...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f36d788857b04c089eade8cdc781ab7a

Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning

About this item

Full title

Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning

Publisher

London: Nature Publishing Group UK

Journal title

Scientific reports, 2023-12, Vol.13 (1), p.22576-12, Article 22576

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is challenging and usually requires large and variable datasets, preferably from multiple institutions. In federated learning (FL), a model is trained collaboratively at numerous sites that hold local datasets without exchanging them. So far, the impact of...

Alternative Titles

Full title

Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_f36d788857b04c089eade8cdc781ab7a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f36d788857b04c089eade8cdc781ab7a

Other Identifiers

ISSN

2045-2322

E-ISSN

2045-2322

DOI

10.1038/s41598-023-49956-8

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