dc.contributor.author | Guo, Yanhui | |
dc.contributor.author | Budak, Umit | |
dc.contributor.author | Sengur, Abdulkadir | |
dc.contributor.author | Smarandache, Florentin | |
dc.date.accessioned | 2021-12-16T09:07:23Z | |
dc.date.available | 2021-12-16T09:07:23Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 2073-8994 | |
dc.identifier.uri | https://doi.org/10.3390/sym9100235 | |
dc.identifier.uri | http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10342 | |
dc.description.abstract | A 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.iso | English | |
dc.publisher | Mdpı | |
dc.rights | gold, Green Published, Green Submitted | |
dc.source | Symmetry-Basel | |
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.wos | WOS:000414911000038 | |
dc.identifier.volume | 9 | |