• DocumentCode
    2252212
  • Title

    CNNUM-Based Methods Using Deformable Contours on Smooth Boundaries

  • Author

    Szabo, Tamas ; Szolgay, Peter

  • Author_Institution
    Dept. of Image Process. & Neurocomput., Pannonia Univ., Veszprem
  • fYear
    2006
  • fDate
    28-30 Aug. 2006
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    In this paper two methods are presented. A CNNUM-based method is shown to quantify the displacement of the normal interhemisperic bilateral symmetry line. The method uses a deformable open contouring technique. Another method has been developed to detect bilateral asymmetries. These methods are implemented on the CNN-UM
  • Keywords
    brain; cellular neural nets; edge detection; image segmentation; medical image processing; cellular neural network; deformable open contouring technique; interhemisperic bilateral symmetry line; universal machine; Active contours; Anatomical structure; Biomedical imaging; Computed tomography; Computer networks; Electronic mail; Image resolution; Image segmentation; Magnetic resonance; Pixel; contour; deformable; segmentation; snake;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cellular Neural Networks and Their Applications, 2006. CNNA '06. 10th International Workshop on
  • Conference_Location
    Istanbul
  • Print_ISBN
    1-4244-0640-4
  • Electronic_ISBN
    1-4244-0640-4
  • Type

    conf

  • DOI
    10.1109/CNNA.2006.341651
  • Filename
    4145891
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2252212