A Novel Approach Based on Image Processing Algorithms for Microaneurysm Candidate Detection

dc.contributor.author	Budak, Umit
dc.contributor.author	Sengur, Abdulkadir
dc.contributor.author	Guo, Yanhui
dc.contributor.author	Akbulut, Yaman
dc.contributor.author	Vespa, Lucas J.
dc.date.accessioned	2021-12-16T09:07:31Z
dc.date.available	2021-12-16T09:07:31Z
dc.date.issued	2017
dc.identifier.isbn	978-1-5386-1880-6
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10404
dc.description.abstract	Interpretting color fundus images by doctors is enhanced by computer-aided detection (CAD). Microaneurysm (MA) detection in CAD is an important step to identify the retinal diseases automatically. However, MA detection is still a challenging task due to t
dc.description.sponsorship	TUBITAK 1512 programTurkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK) [2150121]
dc.language.iso	English
dc.publisher	Ieee
dc.relation.ispartof	2017 International Artificial Intelligence and Data Processing Symposium (IDAP)
dc.source	2017 Internatıonal Artıfıcıal Intellıgence And Data Processıng Symposıum (Idap)
dc.title	A Novel Approach Based on Image Processing Algorithms for Microaneurysm Candidate Detection
dc.type	Proceedings Paper
dc.identifier.wos	WOS:000426868700055

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