Web of Science:
Automatic Detection of Covid-19 with Bidirectional LSTM Network Using Deep Features Extracted from Chest X-ray Images

dc.contributor.authorAkyol, K
dc.contributor.authorSen, B
dc.date.accessioned2023-04-19T00:36:59Z
dc.date.available2023-04-19T00:36:59Z
dc.date.issued2022.01.01
dc.identifier.doi10.1007/s12539-021-00463-2
dc.identifier.eissn1867-1462
dc.identifier.endpage100
dc.identifier.issn1913-2751
dc.identifier.issue1
dc.identifier.startpage89
dc.identifier.urihttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=dspace_ku&SrcAuth=WosAPI&KeyUT=WOS:000679875500001&DestLinkType=FullRecord&DestApp=WOS
dc.identifier.urihttps://hdl.handle.net/20.500.12597/10864
dc.identifier.volume14
dc.identifier.wosWOS:000679875500001
dc.relation.ispartofINTERDISCIPLINARY SCIENCES-COMPUTATIONAL LIFE SCIENCES
dc.titleAutomatic Detection of Covid-19 with Bidirectional LSTM Network Using Deep Features Extracted from Chest X-ray Images
dc.typeArticle
dspace.entity.typeWos
relation.isPublicationOfWos32b55dce-4715-4686-8db6-8634ddb7b63c
relation.isPublicationOfWos.latestForDiscovery32b55dce-4715-4686-8db6-8634ddb7b63c

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