Automatic segmentation, counting, size determination and classification of white blood cells

dc.contributor.author	Nazlibilek, S.
dc.contributor.author	Karacor, D.
dc.contributor.author	Ercan, T.
dc.contributor.author	Sazli, M.H.
dc.contributor.author	Kalender, O.
dc.contributor.author	Ege, Y.
dc.date.accessioned	2021-01-25T20:50:20Z
dc.date.available	2021-01-25T20:50:20Z
dc.date.issued	2014
dc.identifier	10.1016/j.measurement.2014.04.008
dc.identifier.issn	02632241
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84901417604&doi=10.1016%2fj.measurement.2014.04.008&partnerID=40&md5=40d699954c18fe167181a2a5b0496adc
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10441
dc.description.abstract	The counts, the so-called differential counts, and sizes of different types of white blood cells provide invaluable information to evaluate a wide range of important hematic pathologies from infections to leukemia. Today, the diagnosis of diseases can sti
dc.language.iso	English
dc.publisher	Measurement: Journal of the International Measurement Confederation
dc.title	Automatic segmentation, counting, size determination and classification of white blood cells
dc.type	Article
dc.relation.firstpage	58
dc.relation.lastpage	65
dc.relation.volume	55
dc.description.affiliations	Atilim University, Faculty of Engineering, Department of Mechatronics Engineering, 06800 Ankara, Turkey; Ankara Üniversity, Faculty of Engineering, Electronics Engineering Department, 06100 Ankara, Turkey; Yasar University, Faculty of Engineering, Departm

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