Automated segmentation of the injured spleen
Tarih
2016Yazar
Dandin, Ozgur
Teomete, Uygar
Osman, Onur
Tulum, Gokalp
Ergin, Tuncer
Sabuncuoglu, Mehmet Zafer
Üst veri
Tüm öğe kaydını gösterÖzet
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.
Bağlantı
https://doi.org/10.1007/s11548-015-1288-9http://dspace.yeniyuzyil.edu.tr:8080/xmlui/handle/20.500.12629/2303
Koleksiyonlar

DSpace@İYYU by Istanbul Yeni Yüzyil University Institutional Repository is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 4.0 Unported License..