Author/Authors :
Borvayeh، Jafar نويسنده Department of Computer Engineering, Islamic Azad University, Dubai, U.A.E , , Malakooti، Mohammad v نويسنده Department of Computer Engineering, Islamic Azad University, Dubai, U.A.E , , Hashemitaba، Navid نويسنده Department of Computer Engineering, Islamic Azad University, Dubai, U.A.E ,
Abstract :
The breast cancer is a common breast among women. The possibility of suffering from cancer in
various ages is different. In addition of age, the other factors including pervious history of breast
cancer and family of breast cancer increase the risk of cancer. Many kinds of unusual signals exist
in breast that as point out the being breast cancer which can detect these with computer systems.
These systems use the identity patterns techniques in recognition of categories in image that are
index breast losses. In this paper we study on Artificial Neural Network and Fuzzy Logic and its
applications to breast cancer detection and then we review on various automatic analyses of
mammography images
