• DocumentCode
    593227
  • Title

    Breast cancer detection using backpropagation neural network with comparison between different neuron

  • Author

    Pawar, P.S. ; Patil, Dipti

  • Author_Institution
    CE & IT Dept., R. C. Patel Inst. of Technol., Shirpur, India
  • fYear
    2012
  • fDate
    6-8 Dec. 2012
  • Firstpage
    170
  • Lastpage
    173
  • Abstract
    Breast cancer is an uncontrolled growth of breast cells. Cell in the body get divide, grow and die every day. This division and growth of cell is most of the in orderly manner but when their growth is out of control. The uncontrolled growth of cell forms the lump which is called as tumor. A tumor generally of two types benign (not dangerous) or malignant (dangerous to health). The malignant tumor which develops in breast is called as breast cancer. In this paper we use backpropagation neural network for classification of breast cancer with different neuron models. It can assist doctors for taking correct decisions.
  • Keywords
    backpropagation; cancer; gynaecology; medical computing; neural nets; pattern classification; tumours; backpropagation neural network; benign tumor; breast cancer classification; breast cancer detection; breast cells; malignant tumor; Feedforward neural networks; Neurons; artificial neural network; backpropagation neural network; confusion matrix; support vector machine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel Distributed and Grid Computing (PDGC), 2012 2nd IEEE International Conference on
  • Conference_Location
    Solan
  • Print_ISBN
    978-1-4673-2922-4
  • Type

    conf

  • DOI
    10.1109/PDGC.2012.6449811
  • Filename
    6449811