Optimization of Artificial Neural Networks for Cancer Detection

Summary This paper presents a feed-forward back-propagation Neural Network (NN) model to detect and locate early breast cancer/tumor efficiently through the investigation of Electromagnetic (EM) waves. A spherical tumor of radius 0.25 cm was created and placed at arbitrary locations in a breast model using an EM simulator. Directional antennas were used to transmit and receive Ultra-Wide Band (UWB) signals in 4 to 8GHz frequency range. Small training and validation sets were constructed to train and test the NN. The received signals were fed into the trained NN model to find the presence and location of tumor. Very optimistic results (about 100% and 97% presence and location detection rate of tumor respectively) have been observed for early received signal components with the NN model. Hence, the proposed model is very potential for early tumor detection to save human lives in the future.

[1]  W. Liu,et al.  Time Domain Analysis of UWB Breast Cancer Detection , 2006, 23rd Biennial Symposium on Communications, 2006.

[2]  M.J. Abedin,et al.  UWB Imaging for Early Breast Cancer Detection using Time Reversal MUSIC Algorithm , 2007, 2007 Asia-Pacific Microwave Conference.

[3]  Mariagrazia Graziano,et al.  A flexible UWB Transmitter for breast cancer detection imaging systems , 2010, 2010 Design, Automation & Test in Europe Conference & Exhibition (DATE 2010).

[4]  Wee Chang Khor,et al.  Investigations into an uwb microwave radar system for breast cancer detection , 2007, 2007 IEEE Antennas and Propagation Society International Symposium.

[5]  Yianni Attikiouzel,et al.  Artificial Neural Networks and Breast Cancer Prognosis , 1994, Aust. Comput. J..

[6]  T. Kikkawa,et al.  Study on the breast cancer detection by UWB microwave imaging , 2008, 2008 International Conference on Microwave and Millimeter Wave Technology.

[7]  D.W. Winters,et al.  UWB microwave imaging for breast cancer detection: an algorithm for estimating the breast surface , 2006, 2006 IEEE Antennas and Propagation Society International Symposium.

[8]  T. Kikkawa,et al.  Early Breast Cancer Detection with Hemi-Elliptical Configuration by UWB Imaging , 2009, 2009 3rd International Conference on Bioinformatics and Biomedical Engineering.

[9]  Mohammad Ghavami,et al.  A Novel Blind Watermarking of ECG Signals on Medical Images Using EZW Algorithm , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  E. Gunawan,et al.  UWB Microwave Breast Cancer Detection: Generalized Models and Performance Prediction , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  S. Crozier,et al.  Investigations into optimum characteristics for the coupling medium in UWB breast cancer imaging systems , 2008, 2008 IEEE Antennas and Propagation Society International Symposium.