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A Novel Model for Smart Breast Cancer Detection in Thermogram Images

  • Kazerouni, Iman Abaspur ;
  • Zadeh, Hossein Ghayoumi ;
  • Haddadnia, Javad
  • Published : 2015.01.22

Abstract

Background: Accuracy in feature extraction is an important factor in image classification and retrieval. In this paper, a breast tissue density classification and image retrieval model is introduced for breast cancer detection based on thermographic images. The new method of thermographic image analysis for automated detection of high tumor risk areas, based on two-directional two-dimensional principal component analysis technique for feature extraction, and a support vector machine for thermographic image retrieval was tested on 400 images. The sensitivity and specificity of the model are 100% and 98%, respectively.

Keywords

Thermographic image;hot area;support vector machine;feature extraction

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