Journal of Medical Systems

, Volume 36, Issue 5, pp 3091–3102 | Cite as

An Expert Support System for Breast Cancer Diagnosis using Color Wavelet Features

  • S. Issac Niwas
  • P. Palanisamy
  • Rajni Chibbar
  • W. J. Zhang
Original Paper


Breast cancer diagnosis can be done through the pathologic assessments of breast tissue samples such as core needle biopsy technique. The result of analysis on this sample by pathologist is crucial for breast cancer patient. In this paper, nucleus of tissue samples are investigated after decomposition by means of the Log-Gabor wavelet on HSV color domain and an algorithm is developed to compute the color wavelet features. These features are used for breast cancer diagnosis using Support Vector Machine (SVM) classifier algorithm. The ability of properly trained SVM is to correctly classify patterns and make them particularly suitable for use in an expert system that aids in the diagnosis of cancer tissue samples. The results are compared with other multivariate classifiers such as Naïves Bayes classifier and Artificial Neural Network. The overall accuracy of the proposed method using SVM classifier will be further useful for automation in cancer diagnosis.


Breast cancer Complex wavelet transform Color wavelet features Support Vector Machine Naïves Bayes classifier and Artificial Neural Network 



The authors would like to thank the Government of Canada for the financial support through Commonwealth Scholarship 2010–11 for this research work. A partial financial support received from Saskatchewan Health Research Foundation (SHRF) Phase I project grant to the co-author Prof. WJ Zhang for his involvement in this project is acknowledged.


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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  • S. Issac Niwas
    • 1
  • P. Palanisamy
    • 1
  • Rajni Chibbar
    • 2
  • W. J. Zhang
    • 3
  1. 1.Department of Electronics and Communication EngineeringNational Institute of Technology (NIT)TiruchirappalliIndia
  2. 2.Department of PathologyUniversity of SaskatchewanSaskatoonCanada
  3. 3.Division of Biomedical Engineering and Department of Mechanical EngineeringUniversity of SaskatchewanSaskatoonCanada

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