• DocumentCode
    3636541
  • Title

    Biomedical image classification by using artificial neural networks

  • Author

    D. Zumray;O. Tamer;Y. Ertugrul

  • Author_Institution
    Electr. & Electron. Eng., Istanbul Tech. Univ., Turkey
  • Volume
    3
  • fYear
    1996
  • Firstpage
    1469
  • Abstract
    The multilayer perceptron (MLP) is widely used in classification of biomedical images. However, MLP has numerous problems in classification of biomedical images. In this paper, these problems are solved by using the Grow and Learn (GAL) network. It is observed that GAL gives more successful results than the MLP.
  • Keywords
    "Biomedical imaging","Artificial neural networks","Signal processing algorithms","Feature extraction","Biomedical signal processing","Multilayer perceptrons","Nonhomogeneous media","Backpropagation","Image segmentation","Neural networks"
  • Publisher
    ieee
  • Conference_Titel
    Electrotechnical Conference, 1996. MELECON ´96., 8th Mediterranean
  • Print_ISBN
    0-7803-3109-5
  • Type

    conf

  • DOI
    10.1109/MELCON.1996.551227
  • Filename
    551227
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3636541