Automated segmentation of the injured spleen

dc.contributor.author	Dandin, Ozgur
dc.contributor.author	Teomete, Uygar
dc.contributor.author	Osman, Onur
dc.contributor.author	Tulum, Gokalp
dc.contributor.author	Ergin, Tuncer
dc.contributor.author	Sabuncuoglu, Mehmet Zafer
dc.date.accessioned	2021-12-21T08:47:47Z
dc.date.available	2021-12-21T08:47:47Z
dc.date.issued	2016
dc.identifier.issn	1861-6410
dc.identifier.issn	1861-6429
dc.identifier.uri	https://doi.org/10.1007/s11548-015-1288-9
dc.identifier.uri	http://dspace.yeniyuzyil.edu.tr:8080/xmlui/handle/20.500.12629/2303
dc.description.abstract	Purpose To develop a novel automated method for segmentation of the injured spleen using morphological properties following abdominal trauma. Average attenuation of a normal spleen in computed tomography (CT) does not vary significantly between subjects.
dc.language.iso	English
dc.publisher	Sprınger Heıdelberg
dc.title	Automated segmentation of the injured spleen
dc.type	Article
dc.relation.journal	Internatıonal Journal Of Computer Assısted Radıology And Surgery
dc.identifier.issue	3
dc.identifier.startpage	351
dc.identifier.endpage	368
dc.identifier.volume	11
dc.identifier.doi	10.1007/s11548-015-1288-9
dc.relation.issue	3
dc.relation.volume	11

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