@article{2590,
  keywords = {Cancer, Machine Learning, Neural Network, Medicine},
  author = {Mansour Esmaeilpour and Elham Gohariyan and Mohammad Mehdi Shirmohammadi},
  title = {The Combination of Mammography and MRI for Diagnosing Breast Cancer Using Fuzzy NN and SVM},
  abstract = {Breast 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.},
  year = {2017},
  journal = {International Journal of Interactive Multimedia and Artificial Intelligence},
  volume = {4},
  number = {5},
  pages = {20-24},
  month = {09/2017},
  issn = {1989-1660},
  url = {http://www.ijimai.org/journal/sites/default/files/files/2016/12/ijimai20174_5_3_pdf_18248.pdf},
  doi = {10.9781/ijimai.2017.453},
}