Experimental Study of Breast Cancer Detection Using UWB Imaging

Saleh A. Alshehri (1), Sabira Khatun (2), Adznan Jantan (3), RSA Raja Abdullah (4), Rozi Mahmood (5), Zaiki Awang (6)
(1) Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia
(2) Department of Computer Systems and Networks, Faculty of Computer Systems and Software Engineering Universiti Malaysia Pahang
(3) Department of Computer and Communication Systems Engineering, Faculty of Engineering, Universiti Putra Malaysia
(4) Wireless & Photonic Networks Research Centre, Universiti Putra Malaysia
(5) Department of Imaging, Faculty of Medicine and Health Sciences, Universiti Putra Malaysia
(6) Microwave Technology Centre, Universiti Teknologi MARA, Shah Alam, Selangor Darul Ehsan
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How to cite (IJASEIT) :
Alshehri, Saleh A., et al. “Experimental Study of Breast Cancer Detection Using UWB Imaging”. International Journal on Advanced Science, Engineering and Information Technology, vol. 1, no. 1, Feb. 2011, pp. 83-87, doi:10.18517/ijaseit.1.1.20.
Breast cancer detection using UWB imaging is presented in this paper. The study is performed experimentally. Homogeneous breast phantom is constructed using pure petroleum jelly. The tumor is modeled using mixture of water and wheat flour. The breast fatty tissue and tumor tissue are put in breast shaped glass which mimics the skin. The dielectric properties values are comparable to previous study. Neural Network (NN) was trained and tested using feature vector which is prepared by performing discrete cosine transform (DCT) of the received UWB signals. Very encouraging results were obtained. Up to 100 % tumor existence detection was achieved. Tumor size and location detection rate were 91.3% and 95.6% respectively.

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