Breast cancer is a prevalent disease among women and the death rate continues to grow. As there is no cure in the late stage, it is important to detect early breast cancer. The promising candidate for its specificity and lack of ionizing radiation is ultra wide-band (UWB). This chapter presents the performance analysis for breast cancer detection of various types of UWB antennas. The performance of the antennas is compared on the basis of the precision obtained for each UWB antenna from the neural network (NN) module. The UWB patch, UWB pyramidal and UWB horn antennas are three types of antennas that are taken into account. From one antenna, UWB signals are sent and received by another antenna. Scattered UWB signals are collected both forward and backwards. To test the output accuracy of each antenna, the collected signals are fed into a built NN module. Compared to UWB horn (87.11 percent) and UWB patch (83.14 percent) antennas for both signal distributed approaches, the UWB pyramidal antenna (90.55 percent) performs better. The backward scattered approach (89.17%) achieves greater detection precision compared to the forward scattered method (84.69). Indeed, these findings give us the confidence of early detection of breast cancer and save precious lives.
Author (s) Details
V. Vijayasarveswari
Advanced Communication
Engineering, Centre of Excellence (CoE), Universiti Malaysia Perlis (UniMAP),
Perlis, Malaysia and Faculty of Electronic Engineering Technology, Universiti
Malaysia Perlis (UniMAP), Perlis, Malaysia.
M. Jusoh
Advanced Communication
Engineering, Centre of Excellence (CoE), Universiti Malaysia Perlis (UniMAP),
Perlis, Malaysia.
T. Sabapathy
Faculty of Electronic
Engineering Technology, Universiti Malaysia Perlis (UniMAP), Perlis, Malaysia.
S. Khatun
Faculty of Electrical &
Electronic Engineering, Universiti Malaysia Pahang, Pekan, Pahang, Malaysia.
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