A self-adaptive deep learning method for automated eye laterality detection based on color fundus photography

Liu, C Han, X Li, Z Ha, J Peng, G Meng, W He, M

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Field	Value	Language
dc.contributor.author	Liu, C
dc.contributor.author	Han, X
dc.contributor.author	Li, Z
dc.contributor.author	Ha, J
dc.contributor.author	Peng, G
dc.contributor.author	Meng, W
dc.contributor.author	He, M
dc.date.accessioned	2020-06-04T21:55:21Z
dc.date.available	2020-06-04T21:55:21Z
dc.identifier.citation	PLOS ONE, 14, (9), pp. e0222025-e0222025
dc.identifier.issn	1932-6203
dc.identifier.uri	http://hdl.handle.net/10453/141101
dc.language	en
dc.publisher	Public Library of Science (PLoS)
dc.relation.ispartof	PLOS ONE
dc.relation.isbasedon	10.1371/journal.pone.0222025
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	General Science & Technology
dc.title	A self-adaptive deep learning method for automated eye laterality detection based on color fundus photography
dc.type	Journal Article
utslib.citation.volume	14
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Students
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2020-06-04T21:55:18Z
pubs.issue	9
pubs.publication-status	Published online
pubs.volume	14
utslib.start-page	e0222025
utslib.citation.issue	9

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