A retinal vessel detection approach based on shearlet transform and indeterminacy filtering on fundus images

dc.contributor.author	Guo, Y.
dc.contributor.author	Budak, Ü.
dc.contributor.author	Şengür, A.
dc.contributor.author	Smarandache, F.
dc.date.accessioned	2021-12-16T10:12:21Z
dc.date.available	2021-12-16T10:12:21Z
dc.date.issued	2017
dc.identifier.issn	20738994
dc.identifier.uri	https://doi.org/10.3390/sym9100235
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/13125
dc.description.abstract	fundus image is an effective tool for ophthalmologists studying eye diseases. Retinal vessel detection is a significant task in the identification of retinal disease regions. This study presents a retinal vessel detection approach using shearlet transform
dc.language.iso	English
dc.publisher	MDPI AG
dc.rights	All Open Access, Gold, Green
dc.source	Symmetry
dc.title	A retinal vessel detection approach based on shearlet transform and indeterminacy filtering on fundus images
dc.type	Article
dc.identifier.issue	10
dc.identifier.doi	10.3390/sym9100235
dc.identifier.scopus	2-s2.0-85034762028
dc.identifier.volume	9

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