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dc.contributor.authorGuo, Yanhui
dc.contributor.authorBudak, Umit
dc.contributor.authorSengur, Abdulkadir
dc.contributor.authorSmarandache, Florentin
dc.date.accessioned2021-12-16T09:07:23Z
dc.date.available2021-12-16T09:07:23Z
dc.date.issued2017
dc.identifier.issn2073-8994
dc.identifier.urihttps://doi.org/10.3390/sym9100235
dc.identifier.urihttp://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10342
dc.description.abstractA 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 transfo
dc.language.isoEnglish
dc.publisherMdpı
dc.rightsgold, Green Published, Green Submitted
dc.sourceSymmetry-Basel
dc.titleA Retinal Vessel Detection Approach Based on Shearlet Transform and Indeterminacy Filtering on Fundus Images
dc.typeArticle
dc.identifier.issue10
dc.identifier.doi10.3390/sym9100235
dc.identifier.wosWOS:000414911000038
dc.identifier.volume9


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