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Conference Paper: Multiparametric Imaging in Nasopharyngeal Carcinoma, and opportunities for machine learning in medicine

TitleMultiparametric Imaging in Nasopharyngeal Carcinoma, and opportunities for machine learning in medicine
Authors
Khong, PL
Issue Date2017
Citation
Li Ka Shing Foundation East-West Alliance Global Symposium: Big Data in Health, Oxford, UK, 12-14 September 2017 How to Cite?
DescriptionSession 3: Imaging
Host: Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford
Persistent Identifierhttp://hdl.handle.net/10722/299817

 

DC FieldValueLanguage
dc.contributor.authorKhong, PL-
dc.date.accessioned2021-05-31T09:03:59Z-
dc.date.available2021-05-31T09:03:59Z-
dc.date.issued2017-
dc.identifier.citationLi Ka Shing Foundation East-West Alliance Global Symposium: Big Data in Health, Oxford, UK, 12-14 September 2017-
dc.identifier.urihttp://hdl.handle.net/10722/299817-
dc.descriptionSession 3: Imaging-
dc.descriptionHost: Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Population Health, University of Oxford-
dc.languageeng-
dc.relation.ispartofLi Ka Shing Foundation East-West Alliance Symposium 2017-
dc.titleMultiparametric Imaging in Nasopharyngeal Carcinoma, and opportunities for machine learning in medicine-
dc.typeConference_Paper-
dc.identifier.emailKhong, PL: plkhong@hku.hk-
dc.identifier.authorityKhong, PL=rp00467-
dc.identifier.hkuros311359-

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