Title :
Investigation of classification algorithms for a prototype microwave breast cancer monitor
Author :
Santorelli, Adam ; Yunpeng Li ; Porter, Emily ; Popovic, M. ; Coates, Mark
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, QC, Canada
Abstract :
In this paper we investigate the use of differential signals to monitor changes within the breast. Specifically, we focus on the use of machine learning classification algorithms to determine whether any malignant tissues are developing. Experimental data is obtained from a 16-element antenna array that transmits a 2-4 GHz broadband pulse. We implement both the Linear Discriminant Analysis and Support Vector Machine (SVM) detection algorithms to analyze the experimentally obtained data.
Keywords :
UHF antennas; biological tissues; cancer; learning (artificial intelligence); mammography; medical signal processing; microwave antenna arrays; patient monitoring; signal classification; support vector machines; 16-element antenna array; SVM detection algorithms; broadband pulse; frequency 2 GHz to 4 GHz; linear discriminant analysis; machine learning classification algorithms; malignant tissues; prototype microwave breast cancer monitor; support vector machine; Breast; Feature extraction; Microwave antennas; Phantoms; Support vector machines; Tumors; cancer detection; classification algorithms; microwave sensors;
Conference_Titel :
Antennas and Propagation (EuCAP), 2014 8th European Conference on
Conference_Location :
The Hague
DOI :
10.1109/EuCAP.2014.6901757
