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Conference Paper: The use of a graph convolutional neural network model based on fundus photograph derived vascular biomarkers to predict coronary artery disease based on the CT CAD-RADS scores.

TitleThe use of a graph convolutional neural network model based on fundus photograph derived vascular biomarkers to predict coronary artery disease based on the CT CAD-RADS scores.
Authors
Huang, FLIAN, JNg, KSVardhanabhuti, V
Issue Date2022
Citation
European Congress of Radiology (ECR) Overture 2022 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/320038

 

DC FieldValueLanguage
dc.contributor.authorHuang, F-
dc.contributor.authorLIAN, J-
dc.contributor.authorNg, KS-
dc.contributor.authorVardhanabhuti, V-
dc.date.accessioned2022-10-14T05:24:19Z-
dc.date.available2022-10-14T05:24:19Z-
dc.date.issued2022-
dc.identifier.citationEuropean Congress of Radiology (ECR) Overture 2022-
dc.identifier.urihttp://hdl.handle.net/10722/320038-
dc.languageeng-
dc.relation.ispartofEuropean Congress of Radiology (ECR) Overture 2022-
dc.titleThe use of a graph convolutional neural network model based on fundus photograph derived vascular biomarkers to predict coronary artery disease based on the CT CAD-RADS scores.-
dc.typeConference_Paper-
dc.identifier.emailHuang, F: fhuang@hku.hk-
dc.identifier.emailNg, KS: dougng@hku.hk-
dc.identifier.emailVardhanabhuti, V: varv@hku.hk-
dc.identifier.authorityVardhanabhuti, V=rp01900-
dc.identifier.hkuros338520-

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