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Conference Paper: Quantitative Medical Image Analysis using Azure Machine Learning Studio

TitleQuantitative Medical Image Analysis using Azure Machine Learning Studio
Authors
Vardhanabhuti, V
Issue Date2018
PublisherThe Hong Kong Polytechnic University.
Citation
High Performance Computing Resources and Tools in Cloud for Research, Hong Kong, 26 February 2018  How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/270594

 

DC FieldValueLanguage
dc.contributor.authorVardhanabhuti, V-
dc.date.accessioned2019-05-31T04:42:56Z-
dc.date.available2019-05-31T04:42:56Z-
dc.date.issued2018-
dc.identifier.citationHigh Performance Computing Resources and Tools in Cloud for Research, Hong Kong, 26 February 2018 -
dc.identifier.urihttp://hdl.handle.net/10722/270594-
dc.languageeng-
dc.publisherThe Hong Kong Polytechnic University. -
dc.relation.ispartofHigh Performance Computing Resources and Tools in Cloud for Research-
dc.titleQuantitative Medical Image Analysis using Azure Machine Learning Studio-
dc.typeConference_Paper-
dc.identifier.emailVardhanabhuti, V: varv@hku.hk-
dc.identifier.authorityVardhanabhuti, V=rp01900-
dc.identifier.hkuros297188-
dc.publisher.placeHong Kong-

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