Author/Authors :
Miraoui, A. Université Abou Bekr Belkaid-Tlemcen - Faculté de Technologie - Laboratoire de Télécommunications de Tlemcen, Algeria , Merad, L. School in Science and Technology - Department of Physics Preparatory, Algeria , Meriah, S.M. Université Abou Bekr Belkaid-Tlemcen - Faculté de Technologie - Laboratoire de Télécommunications de Tlemcen, Algeria
Title Of Article :
Artificial Neural Networks to aid defferentiation of Benign and Malignant Breast Tumors by Microwave Imaging
Abstract :
In this paper, we propose a method for discriminating between malignant and benign breast tumors, by exploiting the dielectric properties of these tumors. The proposed technique is based on neural networks approach. Simulation results are presented on a model developed using EM simulator (CST).
NaturalLanguageKeyword :
Microwave imaging , Artificial Neural Networks , computer , aided diagnosis , breast cancer
JournalTitle :
Mediterranean Telecommunications Journal
