A novel approach based on image processing algorithms for microaneurysm candidate detection

dc.contributor.author	Budak, Ü.
dc.contributor.author	Şengür, A.
dc.contributor.author	Guo, Y.
dc.contributor.author	Akbulut, Y.
dc.contributor.author	Vespa, L.J.
dc.date.accessioned	2021-12-16T10:12:14Z
dc.date.available	2021-12-16T10:12:14Z
dc.date.issued	2017
dc.identifier.isbn	9.78154E+12
dc.identifier.uri	https://doi.org/10.1109/IDAP.2017.8090215
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/13068
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.language.iso	English
dc.publisher	Institute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof	2017 International Artificial Intelligence and Data Processing Symposium, IDAP 2017
dc.source	IDAP 2017 - International Artificial Intelligence and Data Processing Symposium
dc.title	A novel approach based on image processing algorithms for microaneurysm candidate detection
dc.type	Conference Paper
dc.identifier.doi	10.1109/IDAP.2017.8090215
dc.identifier.scopus	2-s2.0-85039911921

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