• DocumentCode
    3724938
  • 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
  • fYear
    2015
  • Firstpage
    1
  • Lastpage
    4
  • 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"
  • Publisher
    ieee
  • Conference_Titel
    Medical Technologies National Conference (TIPTEKNO), 2015
  • Type

    conf

  • DOI
    10.1109/TIPTEKNO.2015.7374590
  • Filename
    7374590