• DocumentCode
    1983977
  • Title

    Fractal based classification of Colon cancer tissue images

  • Author

    Esgiar, A.N. ; Chakravorty, P.K.

  • Author_Institution
    Fac. of Eng., Al Tahadi Univ., Sirte
  • fYear
    2007
  • fDate
    12-15 Feb. 2007
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    An attempt has been made to classify the histopathological images of colon cancer tissues from the normal tissues based only on fractal features. The tissue images are modelled as fractal sets in E3 euclidian space. A new fractal feature estimation algorithm has been used. We call it true box counting method. It is seen that lacunarity features are important parameters and are more important in classification or segmentation than other fractal features like fractal dimension and mass dimension.
  • Keywords
    biological tissues; cancer; feature extraction; fractals; image classification; medical image processing; colon cancer tissue; feature estimation; fractal; image classification; true box counting method; Cancer; Colon; Data mining; Entropy; Fractals; Image reconstruction; Image segmentation; Lesions; Solids; Surface reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Its Applications, 2007. ISSPA 2007. 9th International Symposium on
  • Conference_Location
    Sharjah
  • Print_ISBN
    978-1-4244-0778-1
  • Electronic_ISBN
    978-1-4244-1779-8
  • Type

    conf

  • DOI
    10.1109/ISSPA.2007.4555279
  • Filename
    4555279
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1983977