• DocumentCode
    3588393
  • Title

    Comparative study of classification techniques used in skin lesion detection systems

  • Author

    Jamil, Uzma ; Khalid, Shehzad

  • Author_Institution
    Dept. of Comput. Eng., Bahria Univ., Islamabad, Pakistan
  • fYear
    2014
  • Firstpage
    266
  • Lastpage
    271
  • Abstract
    The major branch of data mining used to assign raw data to a particular group is classification. It is a method used to forecast the group association for data objects. Medical Imaging is dealing with the designing of automated systems to help physician diagnosis. In this paper, we present the comprehensive study of some classification techniques used in Medical Imaging. Several types of classification methods including Support Vector Machine, Bayesian networks, Neural networks, k-nearest neighbor classifier, and fuzzy logic techniques are used for this purpose. This study is providing a wide-ranging review of classification techniques used in medical diagnostic systems like diabetic retinopathy, foot ulcer and other related to medical field.
  • Keywords
    belief networks; data mining; fuzzy logic; image classification; medical image processing; object detection; skin; support vector machines; Bayesian network; classification technique; data mining; fuzzy logic technique; k-nearest neighbor classifier; medical diagnostic system; medical imaging; neural networks; skin lesion detection system; support vector machine; Accuracy; Algorithm design and analysis; Bayes methods; Biomedical imaging; Classification algorithms; Lesions; Support vector machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Multi-Topic Conference (INMIC), 2014 IEEE 17th International
  • Print_ISBN
    978-1-4799-5754-5
  • Type

    conf

  • DOI
    10.1109/INMIC.2014.7097349
  • Filename
    7097349