• DocumentCode
    2086451
  • Title

    Automatic segmentation of kidney without using contrast medium on abdominal CT images

  • Author

    Yan, Gao ; Boliang, Wang

  • Author_Institution
    Dept. of Comput. Sci., Xiamen Univ., Xiamen, China
  • Volume
    1
  • fYear
    2008
  • fDate
    17-19 Nov. 2008
  • Firstpage
    1242
  • Lastpage
    1246
  • Abstract
    Automatic kidney segmentation from abdominal computed tomography (CT) images is a key step in computer-aided diagnosis for kidney CT. However, due to gray levels similarities of adjacent organ¿s positions and shapes, automatically identifying abdominal organs has always been a high challenging task. In this paper, we proposed an automatic segmentation method integrated some prior knowledge into traditional segmentation methods. Experimental results are comparable to those of manual tracing radiologist and shown to be efficient.
  • Keywords
    computerised tomography; image segmentation; kidney; medical image processing; abdominal CT images; abdominal computed tomography; automatic kidney segmentation; computer-aided diagnosis; Abdomen; Computed tomography; Computer science; Image segmentation; Intelligent systems; Knowledge engineering; Liver; Pancreas; Pathology; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-2196-1
  • Electronic_ISBN
    978-1-4244-2197-8
  • Type

    conf

  • DOI
    10.1109/ISKE.2008.4731120
  • Filename
    4731120