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Article: A Clinically Applicable Deep Learning Model for Detecting Intracranial Aneurysm in Computed Tomography Angiography Images

TitleA Clinically Applicable Deep Learning Model for Detecting Intracranial Aneurysm in Computed Tomography Angiography Images
Authors
Issue Date2020
PublisherSpringer Nature. The Journal's web site is located at http://www.nature.com/ncomms/index.html
Citation
Nature Communications, 2020, Vol 11, p. Article 6090 How to Cite?
Persistent Identifierhttp://hdl.handle.net/10722/316302
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorShi, Z-
dc.contributor.authorMiao, C-
dc.contributor.authorSchoepf, UJ-
dc.contributor.authorSavage, RH-
dc.contributor.authorDargis, DM-
dc.contributor.authorPan, C-
dc.contributor.authorLi, X-
dc.contributor.authorYu, Y-
dc.contributor.authorLu, G-
dc.contributor.authorZhang, L-
dc.date.accessioned2022-09-02T06:09:06Z-
dc.date.available2022-09-02T06:09:06Z-
dc.date.issued2020-
dc.identifier.citationNature Communications, 2020, Vol 11, p. Article 6090-
dc.identifier.urihttp://hdl.handle.net/10722/316302-
dc.languageeng-
dc.publisherSpringer Nature. The Journal's web site is located at http://www.nature.com/ncomms/index.html-
dc.relation.ispartofNature Communications-
dc.titleA Clinically Applicable Deep Learning Model for Detecting Intracranial Aneurysm in Computed Tomography Angiography Images-
dc.typeArticle-
dc.identifier.emailYu, Y: yzyu@cs.hku.hk-
dc.identifier.authorityYu, Y=rp01415-
dc.identifier.doi10.1038/s41467-020-19527-w-
dc.identifier.hkuros336359-
dc.identifier.volumeVol 11-
dc.identifier.spageArticle 6090-
dc.identifier.epageArticle 6090-
dc.identifier.isiWOS:000617694200006-

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