• DocumentCode
    288915
  • Title

    Breast cancer prognosis using the EMN architecture

  • Author

    Choong, Poh Lian ; Desilva, Christopher J S

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Western Australia Univ., Nedlands, WA, Australia
  • Volume
    6
  • fYear
    1994
  • fDate
    27 Jun- 2 Jul 1994
  • Firstpage
    3516
  • Abstract
    This paper describes the practical use of the entropy maximization network architecture as a method of inference from small data sets as illustrated by an application to prediction of metastases in breast cancer patients
  • Keywords
    maximum entropy methods; medical diagnostic computing; neural nets; patient diagnosis; EMN architecture; breast cancer prognosis; entropy maximization network architecture; inference; metastases; Artificial neural networks; Breast cancer; Entropy; Hospitals; Inference algorithms; Intelligent systems; Lymph nodes; Metastasis; Pathology; Tumors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1901-X
  • Type

    conf

  • DOI
    10.1109/ICNN.1994.374901
  • Filename
    374901
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=288915