Web of Science:
Automated detection of Covid-19 disease using deep fused features from chest radiography images

Simple item page
dc.contributor.authorUcar, E
dc.contributor.authorAtila, U
dc.contributor.authorUcar, M
dc.contributor.authorAkyol, K
dc.date.accessioned2023-04-19T00:33:56Z
dc.date.available2023-04-19T00:33:56Z
dc.date.issued2021.01.01
dc.identifier.doi10.1016/j.bspc.2021.102862
dc.identifier.eissn1746-8108
dc.identifier.endpage
dc.identifier.issn1746-8094
dc.identifier.issue
dc.identifier.startpage
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000685637600005&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/10799
dc.identifier.volume69
dc.identifier.wosWOS:000685637600005
dc.relation.ispartofBIOMEDICAL SIGNAL PROCESSING AND CONTROL
dc.titleAutomated detection of Covid-19 disease using deep fused features from chest radiography images
dc.typeArticle
dspace.entity.typeWos
relation.isPublicationOfWos3a53be11-b5a7-4055-af31-d601627e8951
relation.isPublicationOfWos.latestForDiscovery3a53be11-b5a7-4055-af31-d601627e8951

Files

Collections

Wos İndekslenen Yayınlar