• DocumentCode
    533187
  • Title

    The research on diagnosis by mammography basing on Bayesian Classification

  • Author

    Hui, Bei ; Ji, Lin ; Xie, PengCheng

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    11
  • fYear
    2010
  • fDate
    22-24 Oct. 2010
  • Abstract
    Breast cancer is the women´s common diseases in the world. How to improving the early diagnosis of breast cancer is very important. At present, many methods are used in diagnosis of the breast cancer, for example, ultrasonography and CT. They have some advantage, but they also have some disadvantages. Mammography is the most effective method for breast cancer screening available today. In this paper, a computer aid diagnosis model is proposed basing on Bayesian Classification model because of its effective, good efficiency. At last, we find this system has more effective on diagnosis by mammography through experiment.
  • Keywords
    Bayes methods; mammography; medical image processing; patient diagnosis; pattern classification; Bayesian classification; CT; breast cancer; computer aid diagnosis model; mammography diagnosis; ultrasonography; Accuracy; Bayesian methods; Breast cancer; Classification algorithms; Computational modeling; Mammography; Bayesian; diagnosis; mammography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Application and System Modeling (ICCASM), 2010 International Conference on
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4244-7235-2
  • Electronic_ISBN
    978-1-4244-7237-6
  • Type

    conf

  • DOI
    10.1109/ICCASM.2010.5623158
  • Filename
    5623158