Segmentation of multiple sclerosis plagues by robust fuzzy clustering with spatial information

dc.contributor.author	Ozyavru, H.
dc.contributor.author	Ozkurt, N.
dc.contributor.author	Men, S.
dc.date.accessioned	2021-01-25T20:51:17Z
dc.date.available	2021-01-25T20:51:17Z
dc.date.issued	2011
dc.identifier	10.1109/INISTA.2011.5946104
dc.identifier.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-79961176366&doi=10.1109%2fINISTA.2011.5946104&partnerID=40&md5=d0919de79f061f983e6e5e9d9b79bf1e
dc.identifier.uri	https://dspace.yasar.edu.tr/xmlui/handle/20.500.12742/10618
dc.description.abstract	In this study, a fuzzy clustering method has been proposed in order to segment brain tissues affected by the multiple sclerosis (MS). In traditional fuzzy clustering, the neighboring relations between pixels have not been taken account of. Additionally, t
dc.language.iso	English
dc.publisher	INISTA 2011 - 2011 International Symposium on INnovations in Intelligent SysTems and Applications
dc.title	Segmentation of multiple sclerosis plagues by robust fuzzy clustering with spatial information
dc.type	Conference Paper
dc.relation.firstpage	420
dc.relation.lastpage	423
dc.description.affiliations	Dokuz Eylul University, Graduate School of Natural and Applied Sciences, Izmir, Turkey; Yaşar University, Dept. of Electrical and Electronics Engineering, Izmir, Turkey; Dokuz Eylul University, Medicine Faculty, Dept. Radiology, Izmir, Turkey

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