Automated segmentation of the injured spleen

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Date
2016
Author
Dandin, Ozgur
Teomete, Uygar
Osman, Onur
Tulum, Gokalp
Ergin, Tuncer
Sabuncuoglu, Mehmet Zafer
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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.
URI
https://doi.org/10.1007/s11548-015-1288-9
http://dspace.yeniyuzyil.edu.tr:8080/xmlui/handle/20.500.12629/2303
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