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Detection and classification of shoulder implants from X-ray images: YOLO and pre- trained convolution neural network based approach

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dc.contributor.authorKaraci, A
dc.date.accessioned2023-04-19T00:42:16Z
dc.date.available2023-04-19T00:42:16Z
dc.date.issued2022.01.01
dc.identifier.doi10.17341/gazimmfd.888202
dc.identifier.eissn1304-4915
dc.identifier.endpage294
dc.identifier.issn1300-1884
dc.identifier.issue1
dc.identifier.startpage283
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000718898200013&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/10978
dc.identifier.volume37
dc.identifier.wosWOS:000718898200013
dc.relation.ispartofJOURNAL OF THE FACULTY OF ENGINEERING AND ARCHITECTURE OF GAZI UNIVERSITY
dc.titleDetection and classification of shoulder implants from X-ray images: YOLO and pre- trained convolution neural network based approach
dc.typeArticle
dspace.entity.typeWos
relation.isPublicationOfWos1057ddeb-7b9e-4054-baa2-7ce592a32211
relation.isPublicationOfWos.latestForDiscovery1057ddeb-7b9e-4054-baa2-7ce592a32211

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