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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2018-03-01
A Comparative Study for Breast Cancer Detection by Neural Approach for Different Configurations of the Microwave Imaging System
By
Wassila Sekkal,

    Dr. Wassila Sekkal

    Faculty of Technology, Telecommunications Laboratory, Department of Physics, Preparatory School in Science and Technology

    University Abou Bekr Belkaid-Tlemcen

    Algeria

    Homepage

Lotfi Merad,

    Dr. Lotfi Merad

    Department de la Formation du Second Cycle

    Ecole Supérieure en Sciences Appliquées de Tlemcen

    Algeria

    Homepage

Sidi Mohammed Meriah

    Prof. Sidi Mohammed Meriah

    departement of telecommunications, Faculty of Technology

    University of Tlemcen

    Algeria

    Homepage

Progress In Electromagnetics Research M, Vol. 65, 69-78, 2018
doi:10.2528/PIERM17111903 | Google Scholar

Abstract
The study done in this paper focuses on the detection of breast cancer by neuronal approach, by rotating the transmitting antenna from 15°, 30°, 45°, 60°, 75° to 90° relative to its initial position which is of 0° (i.e. to the opposite of the reciving antenna). We have generated our database by using a CST electromagnetic simulator for each antenna location. Then the learning and test phases of our artificial neural network (ANN) are done for seven antennae locations using two learning algorithms which are: the Scaled Conjugate Gradient Back-propagation (Trainscg) and the Gradient Descent with Momentum (Traingdm). A comparative study was conducted for all the seven cases. The results obtained are very satisfying and show that the best location of the transmitter antenna is at 60° and that the learning algorithm Trainscg gives better results than Traingdm.
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Citation
Wassila Sekkal, Lotfi Merad, and Sidi Mohammed Meriah, "A Comparative Study for Breast Cancer Detection by Neural Approach for Different Configurations of the Microwave Imaging System," Progress In Electromagnetics Research M, Vol. 65, 69-78, 2018.
doi:10.2528/PIERM17111903
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