White Blood Cell Classification Based on Shape and Deep Features

dc.contributor.author	Sengur, Abdulkadir
dc.contributor.author	Akbulut, Yaman
dc.contributor.author	Budak, Umit
dc.contributor.author	Comert, Zafer
dc.date.accessioned	16/12/21 12:07
dc.date.available	16/12/21 12:07
dc.date.issued	2019
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/10140
dc.description.abstract	Classification of the white blood cells (WBCs) in blood smear images is essential for providing important information to the physicians. In addition, manual analyzing of the blood smear images for determining the various WBCs is a time-consuming issue for
dc.language.iso	English
dc.publisher	Ieee
dc.relation.ispartof	International Conference on Artificial Intelligence and Data Processing (IDAP)
dc.source	2019 Internatıonal Conference On Artıfıcıal Intellıgence And Data Processıng (Idap 2019)
dc.title	White Blood Cell Classification Based on Shape and Deep Features
dc.type	Proceedings Paper
dc.identifier.wos	WOS:000591781100073

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