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Article: Validation of a deep learning model for classification of pediatric pneumonia in Hong Kong

TitleValidation of a deep learning model for classification of pediatric pneumonia in Hong Kong
Authors
Wang, DongRu, BoshuLee, Elaine Yuen PhinHwang, Andy Cheuk NamChan, Kate Ching ChingWeaver, JessicaWhite, MeghanChen, YiyunLao, Kim S.J.Khan, Tsz K.Roberts, Craig S.
KeywordsArtificial intelligence
Image interpretation, computer-assisted
Observer variation
Pneumococcal infections
Pneumonia/classification
Radiography, thoracic
Issue Date2-Dec-2024
PublisherElsevier
Citation
Vaccine, 2024, v. 42, n. 26 How to Cite?
DOI: http://dx.doi.org/10.1016/j.vaccine.2024.126370
Persistent Identifierhttp://hdl.handle.net/10722/353775
ISSN
0264-410X
2023 Impact Factor: 4.5
2023 SCImago Journal Rankings: 1.342

 

DC FieldValueLanguage
dc.contributor.authorWang, Dong-
dc.contributor.authorRu, Boshu-
dc.contributor.authorLee, Elaine Yuen Phin-
dc.contributor.authorHwang, Andy Cheuk Nam-
dc.contributor.authorChan, Kate Ching Ching-
dc.contributor.authorWeaver, Jessica-
dc.contributor.authorWhite, Meghan-
dc.contributor.authorChen, Yiyun-
dc.contributor.authorLao, Kim S.J.-
dc.contributor.authorKhan, Tsz K.-
dc.contributor.authorRoberts, Craig S.-
dc.date.accessioned2025-01-24T00:35:45Z-
dc.date.available2025-01-24T00:35:45Z-
dc.date.issued2024-12-02-
dc.identifier.citationVaccine, 2024, v. 42, n. 26-
dc.identifier.issn0264-410X-
dc.identifier.urihttp://hdl.handle.net/10722/353775-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofVaccine-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.subjectArtificial intelligence-
dc.subjectImage interpretation, computer-assisted-
dc.subjectObserver variation-
dc.subjectPneumococcal infections-
dc.subjectPneumonia/classification-
dc.subjectRadiography, thoracic-
dc.titleValidation of a deep learning model for classification of pediatric pneumonia in Hong Kong-
dc.typeArticle-
dc.identifier.doi10.1016/j.vaccine.2024.126370-
dc.identifier.scopuseid_2-s2.0-85204407468-
dc.identifier.volume42-
dc.identifier.issue26-
dc.identifier.eissn1873-2518-
dc.identifier.issnl0264-410X-

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