سال انتشار: ۱۳۹۰

محل انتشار: نوزدهمین کنفرانس مهندسی برق ایران

تعداد صفحات: ۴

نویسنده(ها):

SayedMasoud Hashemi Amroabadi – Electrical and Computer Eng. Dept. University of Toronto, Toronto, Canada
Mohammad Reza Ahmadzadeh – Electrical and Computer Eng. Dept., Isfahan University of Tech., Isfahan, Iran
Ali Hekmatnia – Medical Image and Signal Processing center, Isfahan University of Medical Science, Isfahan

چکیده:

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.