SVM-based classification of breast tumour phantoms using a UWB radar prototype system

In this paper, a follow-up study exploring the classification of phantoms mimicking benign and malignant breast tumours, using a pre-clinical Ultra Wideband (UWB) prototype imaging system, is presented. A database of 13 benign and 13 malignant tumour phantoms was created using material which mimicked the dielectric properties of tumour tissues in the 1-6GHz frequency range. The classification was performed using a machine learning algorithm - Support Vector Machines (SVM) - and the results were compared to those of a previous study by the authors where Linear Discriminant Analysis and Quadratic Discriminant Analysis were considered.

[1]  E.C. Fear,et al.  Tissue Sensing Adaptive Radar for Breast Cancer Detection—Experimental Investigation of Simple Tumor Models , 2005, IEEE Transactions on Microwave Theory and Techniques.

[2]  Karri Muinonen,et al.  Light Scattering by Stochastically Shaped Particles , 2000 .

[3]  M. O’Halloran,et al.  Evaluation of Features and Classifiers for Classification of Early-stage Breast Cancer , 2011 .

[4]  M. Lindstrom,et al.  A large-scale study of the ultrawideband microwave dielectric properties of normal, benign and malignant breast tissues obtained from cancer surgeries , 2007, Physics in medicine and biology.

[5]  Edward Jones,et al.  Support Vector Machines for the Classification of Early-Stage Breast Cancer Based on Radar Target Signatures , 2010 .

[6]  Raja Syamsul Azmir Raja Abdullah,et al.  3D experimental detection and discrimination of malignant and benign breast tumor using NN-based UWB imaging system , 2011 .

[7]  J. Cullinan,et al.  Mammography and Beyond: Developing Technologies for the Early Detection of Breast Cancer , 2002 .

[8]  A. Taflove,et al.  Two-dimensional FDTD analysis of a pulsed microwave confocal system for breast cancer detection: fixed-focus and antenna-array sensors , 1998, IEEE Transactions on Biomedical Engineering.

[9]  Daniel Flores-Tapia,et al.  Real time breast microwave radar image reconstruction using circular holography: a study of experimental feasibility. , 2011, Medical physics.

[10]  K. Paulsen,et al.  Initial clinical experience with microwave breast imaging in women with normal mammography. , 2007, Academic radiology.

[11]  W. Marsden.  I and J , 2012 .

[12]  X. Li,et al.  Confocal microwave imaging for breast cancer detection: localization of tumors in three dimensions , 2002, IEEE Transactions on Biomedical Engineering.

[13]  R. C. Conceicao,et al.  Initial classification of breast tumour phantoms using a UWB radar prototype , 2013, 2013 International Conference on Electromagnetics in Advanced Applications (ICEAA).