Mass detection in mammograms using ga based PCA and Haralick features selection
SayedMasoud Hashemi Amroabadi, Mohammad Reza Ahmadzadeh, Ali Hekmatnia · Iranian Conference on Electrical Engineering · 2011
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.