Automated segmentation of the injured spleen

dc.contributor.author	Dandin, O.
dc.contributor.author	Teomete, U.
dc.contributor.author	Osman, O.
dc.contributor.author	Tulum, G.
dc.contributor.author	Ergin, T.
dc.contributor.author	Sabuncuoglu, M.Z.
dc.date.accessioned	2021-12-21T08:41:33Z
dc.date.available	2021-12-21T08:41:33Z
dc.date.issued	2016
dc.identifier.issn	18616410
dc.identifier.uri	https://doi.org/10.1007/s11548-015-1288-9
dc.identifier.uri	http://dspace.yeniyuzyil.edu.tr:8080/xmlui/handle/20.500.12629/1457
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	Springer Verlag
dc.title	Automated segmentation of the injured spleen
dc.type	Article
dc.relation.journal	International Journal of Computer Assisted Radiology 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