Scientific papers details

  • Classification of Breast Tissue as Normal or Abnormal Based on Texture Analysis of Digital Mammogram
  • year : 2014
  • How to cite : , 2014 , 1-7 (1) ,pp: 1-7
  • Abstract : The breast cancer is a serious public health problem among women in the world. Efforts in Computer Vision have been made in order to improve the diagnostic accuracy by radiologists. In this paper a method for detection of breast cancer based on digital mammogram analysis was presented. Haralick texture features were derived from spatial grey level dependency (SGLD) matrix. The features were extracted from each Region of interest (ROIs). The features discriminating to detect abnormal from normal tissues were determined by stepwise linear discriminant analysis classifier. The proposed method achieved 95.7% of relative accuracy for classification of breast tissues based on digital mammogram texture analysis.
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