Title :
Automated segmentation of the injured liver
Author :
Tu?ba Palaba?;Onur Osman;Tuncer Ergin;Uygar Teomete;?zg?r Dandin
Author_Institution :
Bilgisayar M?hendisli?i, ?stanbul Arel ?niversitesi, Turkey
Abstract :
A new method is developed about segmentation in patients with liver trauma due to traffic accidents and military injuries. It is seemed that normal or liver surger cases are used in most of the studies in the literature. A new method need to develop for injured liver segmentation since it knows that the formal defect in the body and density differences are much more in injury cases. A liver mask is determined as first step in this method, then a segmentation is executed in the lower and upper sections of the area inside the mask. The results were compared with those in the literature and has proved to be quite close.
Keywords :
"Liver","Image segmentation","Computed tomography","Biomedical imaging","Injuries","Estimation","Accidents"
Conference_Titel :
Medical Technologies National Conference (TIPTEKNO), 2015
DOI :
10.1109/TIPTEKNO.2015.7374590