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Mass Detection in Mammograms Using Ga Based Pca and Haralick Features Selection



Amroabadi SH1 ; Ahmadzadeh MR2 ; Hekmatnia A3
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Source: 2011 19th Iranian Conference on Electrical Engineering, ICEE 2011 Published:2011

Abstract

Many existing researches utilized different types of feature extraction techniques to detect masses in ROI images. Based on our observations, inclusion of additional features beyond a certain point worsens the performance rather than enhancing it. This paper describes a hybrid method of mammogram recognition which is based on principle component analysis, Haralick features and Genetic algorithm to select the best features. © 2011 AmirKabir Univ of Tech.
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