• DocumentCode
    714424
  • Title

    Acute lymphoblastic leukemia diagnosis using image processing techniques

  • Author

    Selcuk, Osman ; Ozen, Figen

  • Author_Institution
    Elektrik-Elektron. Muhendisligi Bolumu, HALIC Univ., İstanbul, Turkey
  • fYear
    2015
  • fDate
    16-19 May 2015
  • Firstpage
    803
  • Lastpage
    806
  • Abstract
    An efficient image processing algorithm for the classification of acute lymphoblastic leukemia (ALL) cells has been designed. ALL is encountered especially on children and has a high chance of treatment, yet may lead to death if not treated. The preprocessing part of the algorithm employs the Wavelet Transform technique and the classification is done using Support Vector Machines (SVMs). The results have been analyzed statistically by means of a Confusion Matrix. The rate of success has been found as 96,43%.
  • Keywords
    cancer; image classification; medical image processing; support vector machines; wavelet transforms; ALL; Confusion Matrix; SVM; acute lymphoblastic leukemia cells; acute lymphoblastic leukemia diagnosis; classification; image processing algorithm; image processing techniques; support vector machines; wavelet transform technique; Computers; Image segmentation; Microscopy; Multiresolution analysis; Robots; Wavelet Transform; acute lymphoblastic leukemia; support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications Applications Conference (SIU), 2015 23th
  • Conference_Location
    Malatya
  • Type

    conf

  • DOI
    10.1109/SIU.2015.7129950
  • Filename
    7129950
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=714424