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VGGCOV19-NET: automatic detection of COVID-19 cases from X-ray images using modified VGG19 CNN architecture and YOLO algorithm

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dc.contributor.authorKaraci, A
dc.date.accessioned2023-04-19T00:45:00Z
dc.date.available2023-04-19T00:45:00Z
dc.date.issued2022.01.01
dc.identifier.doi10.1007/s00521-022-06918-x
dc.identifier.eissn1433-3058
dc.identifier.endpage8274
dc.identifier.issn0941-0643
dc.identifier.issue10
dc.identifier.startpage8253
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000746375000003&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/11035
dc.identifier.volume34
dc.identifier.wosWOS:000746375000003
dc.relation.ispartofNEURAL COMPUTING & APPLICATIONS
dc.titleVGGCOV19-NET: automatic detection of COVID-19 cases from X-ray images using modified VGG19 CNN architecture and YOLO algorithm
dc.typeArticle
dspace.entity.typeWos
local.indexed.atWOS
relation.isPublicationOfWos0f3c702f-eeeb-461e-becd-66f921e74a15
relation.isPublicationOfWos.latestForDiscovery0f3c702f-eeeb-461e-becd-66f921e74a15

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