• DocumentCode
    2817225
  • Title

    Application of active contour models in medical image segmentation

  • Author

    Derraz, Foued ; Beladgham, Mohamed ; Khelif, M´hamed

  • Author_Institution
    Dept. of Comput. Sci., Abou Bekr Belkaid Univ., Tlemcen, Algeria
  • Volume
    2
  • fYear
    2004
  • fDate
    5-7 April 2004
  • Firstpage
    675
  • Abstract
    Recent developments on medical imaging techniques have brought a completely new research field on image processing. The principal aim is to improve medical diagnosis through segmented images. Techniques have been developed to help for identifying specific structures within a magnetic resonance image: MRI. The active contour methods, these methods are adaptable to the desired features in the image. In our work, we describe two classes of active contour models and discussing application aspects in medical imaging area.
  • Keywords
    biomedical MRI; computational geometry; feature extraction; image segmentation; medical image processing; MRI; active contour models; image processing; magnetic resonance image; medical diagnosis; medical image segmentation; medical imaging techniques; Active contours; Biomedical imaging; Image analysis; Image processing; Image segmentation; Magnetic analysis; Magnetic resonance imaging; Mathematical model; Medical diagnostic imaging; Solid modeling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
  • Print_ISBN
    0-7695-2108-8
  • Type

    conf

  • DOI
    10.1109/ITCC.2004.1286732
  • Filename
    1286732