• DocumentCode
    983438
  • Title

    Interpreting Artificial Neural Networks for Microwave Detection of Breast Cancer

  • Author

    Woten, Douglas A. ; Lusth, John ; El-Shenawee, Magda

  • Author_Institution
    Univ. of Arkansas, Fayetteville
  • Volume
    17
  • Issue
    12
  • fYear
    2007
  • Firstpage
    825
  • Lastpage
    827
  • Abstract
    This letter demonstrates the applicability of artificial neural networks (ANNs) to breast cancer detection. A simplified model of the breast containing a tumor was used to determine the scattering of electromagnetic waves in the microwave band. This data was used to train an ANN which was then tested on new data to predict the presence or absence of a tumor. Synthetic variation (noise) is added to the data to realistically model the breast.
  • Keywords
    biological effects of microwaves; biomedical imaging; cancer; electromagnetic wave scattering; medical computing; microwave imaging; neural nets; tumours; ANN training; artificial neural networks; breast cancer detection; electromagnetic wave scattering; microwave detection; tumor; Artificial neural networks; Breast cancer; Breast neoplasms; Breast tissue; Cancer detection; Electromagnetic scattering; High-resolution imaging; Mammography; Microwave imaging; Skin; Artificial neural networks (ANNs); breast cancer detection; wave scattering;
  • fLanguage
    English
  • Journal_Title
    Microwave and Wireless Components Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1531-1309
  • Type

    jour

  • DOI
    10.1109/LMWC.2007.910466
  • Filename
    4385289