Feature saliency using signal to noise ratios in automated diagnostic systems developed for Doppler ultrasound signals

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dc.contributor.authorGÜLER İ.
dc.contributor.authorÜBEYLİ E.D.
dc.contributor.authorGüler, İnan
dc.date.accessioned2026-10-15T04:03:22Z
dc.date.issued2006
dc.descriptionSCI-Expanded | Uluslararası | Özgün Makale | YÖK-Özgeçmiş
dc.identifier.urihttps://hdl.handle.net/20.500.11782/10454
dc.relation.ispartofEngineering Applications of Artificial Intelligence
dc.titleFeature saliency using signal to noise ratios in automated diagnostic systems developed for Doppler ultrasound signals
dc.typeArticle
dspace.entity.typePublication
hku.portal.eseridt:makale:703e2018713b3591
hku.yoksis.yayinid579768
oaire.citation.volume19
relation.isAuthorOfPublicationd84628d0-ca73-410e-8a67-f77599efa956
relation.isAuthorOfPublication.latestForDiscoveryd84628d0-ca73-410e-8a67-f77599efa956

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