Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring

HORRY, MJ Chakraborty, S

Pradhan, B Fallahpoor, M Hossein, C Paul, M

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Field	Value	Language
dc.contributor.author	HORRY, MJ
dc.contributor.author	Chakraborty, S https://orcid.org/0000-0002-0102-5424
dc.contributor.author	Pradhan, B
dc.contributor.author	Fallahpoor, M
dc.contributor.author	Hossein, C
dc.contributor.author	Paul, M
dc.date.accessioned	2021-04-24T00:00:43Z
dc.date.available	2021-04-24T00:00:43Z
dc.date.issued	2021-04-24
dc.identifier.citation	engrXiv, 2021
dc.identifier.uri	http://hdl.handle.net/10453/148324
dc.language	en
dc.relation.ispartof	engrXiv
dc.relation.isbasedon	10.31224/osf.io/tfqa4
dc.rights	info:eu-repo/semantics/restrictedAccess
dc.title	Systematic investigation into generalization of COVID-19 CT deep learning models with Gabor ensemble for lung involvement scoring
dc.type	Preprint
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	recently_added	*
dc.date.updated	2021-04-24T00:00:41Z

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