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Diagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study (vol 8, 707508, 2021)

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dc.contributor.authorXu, Lixue-
dc.contributor.authorHe, Yi-
dc.contributor.authorLuo, Nan-
dc.contributor.authorGuo, Ning-
dc.contributor.authorHong, Min-
dc.contributor.authorJia, Xibin-
dc.contributor.authorWang, Zhenchang-
dc.contributor.authorYang, Zhenghan-
dc.date.accessioned2022-10-05T01:41:25Z-
dc.date.available2022-10-05T01:41:25Z-
dc.date.issued2022-06-
dc.identifier.issn2297-055X-
dc.identifier.urihttps://scholarworks.bwise.kr/sch/handle/2021.sw.sch/21475-
dc.format.extent1-
dc.language영어-
dc.language.isoENG-
dc.publisherFrontiers Media S.A.-
dc.titleDiagnostic Accuracy and Generalizability of a Deep Learning-Based Fully Automated Algorithm for Coronary Artery Stenosis Detection on CCTA: A Multi-Centre Registry Study (vol 8, 707508, 2021)-
dc.typeArticle-
dc.publisher.location스위스-
dc.identifier.doi10.3389/fcvm.2022.920738-
dc.identifier.wosid000816948000001-
dc.identifier.bibliographicCitationFrontiers in Cardiovascular Medicine, v.9, pp 1 - 1-
dc.citation.titleFrontiers in Cardiovascular Medicine-
dc.citation.volume9-
dc.citation.startPage1-
dc.citation.endPage1-
dc.type.docTypeCorrection-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaCardiovascular System & Cardiology-
dc.relation.journalWebOfScienceCategoryCardiac & Cardiovascular Systems-
dc.subject.keywordAuthorcoronary artery disease-
dc.subject.keywordAuthorcomputed tomographic angiography-
dc.subject.keywordAuthordeep learning-
dc.subject.keywordAuthorinvasive coronary angiography (ICA)-
dc.subject.keywordAuthordiagnostic test-
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