The Combination of Mammography and MRI for Diagnosing Breast Cancer Using Fuzzy NN and SVM

TitleThe Combination of Mammography and MRI for Diagnosing Breast Cancer Using Fuzzy NN and SVM
Publication TypeJournal Article
Year of Publication2017
AuthorsGohariyan, E., M. Esmaeilpour, and M. M. Shirmohammadi
JournalInternational Journal of Interactive Multimedia and Artificial Intelligence
ISSN1989-1660
IssueSpecial Issue on 3D Medicine and Artificial Intelligence
Volume4
Number5
Date Published09/2017
Pagination20-24
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.

KeywordsCancer, Machine Learning, Medicine, Neural Network
DOI10.9781/ijimai.2017.453
URLhttp://www.ijimai.org/journal/sites/default/files/files/2016/12/ijimai20174_5_3_pdf_18248.pdf
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