01444nas a2200229   4500000000100000000000100001008004100002260001200043653001100055653002100066653001900087653001300106100002400119700002000143700003300163245009500196856009800291300001000389490000600399520079500405022001401200       2017                            d  c09/201710aCancer10aMachine Learning10aNeural Network10aMedicine1 aMansour Esmaeilpour1 aElham Gohariyan1 aMohammad Mehdi Shirmohammadi00aThe Combination of Mammography and MRI for Diagnosing Breast Cancer Using Fuzzy NN and SVM  uhttp://www.ijimai.org/journal/sites/default/files/files/2016/12/ijimai20174_5_3_pdf_18248.pdf  a20-240 v43 aBreast cancer is one of the common cancers among women so that early diagnosing of it can effectively help its treatment in this study, considering combination of Mammography and MRI pictures, we will try to recognize glands in existing pictures which identify all around of gland complete and precisely and separate it completely. In this method using artificial intelligence algorithm such as Affine transformation, Gabor filter, neural network, and support vector machine, image analysis will be carried out. The accuracy of proposed method is 98.14. In this work a special framework is presented which simplifies cancer diagnosis. The algorithm of proposed method is tested on z16 images. High speed and lack of human error are the most important factors in proposed intelligent system.  a1989-1660