Title :
Interpreting Artificial Neural Networks for Microwave Detection of Breast Cancer
Author :
Woten, Douglas A. ; Lusth, John ; El-Shenawee, Magda
Author_Institution :
Univ. of Arkansas, Fayetteville
Abstract :
This letter demonstrates the applicability of artificial neural networks (ANNs) to breast cancer detection. A simplified model of the breast containing a tumor was used to determine the scattering of electromagnetic waves in the microwave band. This data was used to train an ANN which was then tested on new data to predict the presence or absence of a tumor. Synthetic variation (noise) is added to the data to realistically model the breast.
Keywords :
biological effects of microwaves; biomedical imaging; cancer; electromagnetic wave scattering; medical computing; microwave imaging; neural nets; tumours; ANN training; artificial neural networks; breast cancer detection; electromagnetic wave scattering; microwave detection; tumor; Artificial neural networks; Breast cancer; Breast neoplasms; Breast tissue; Cancer detection; Electromagnetic scattering; High-resolution imaging; Mammography; Microwave imaging; Skin; Artificial neural networks (ANNs); breast cancer detection; wave scattering;
Journal_Title :
Microwave and Wireless Components Letters, IEEE
DOI :
10.1109/LMWC.2007.910466
