International Journal on Advanced Science, Engineering and Information Technology, Vol. 1 (2011) No. 1, pages: 83-87, Proceeding of the International Conference on Advanced Science, Engineering and Information Technology (ICASEIT 2011), Bangi, Malaysia, 14-15 January 2011, DOI:10.18517/ijaseit.1.1.20

Experimental Study of Breast Cancer Detection Using UWB Imaging

Saleh A. Alshehri, Sabira Khatun, Adznan Jantan, RSA Raja Abdullah, Rozi Mahmood, Zaiki Awang

Abstract

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.

Keywords:

early breast cancer detection; neural network; breast phantom for UWB imaging

Viewed: 561 times (since Sept 4, 2017)

cite this paper     download