DocumentCode
983438
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
Volume
17
Issue
12
fYear
2007
Firstpage
825
Lastpage
827
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;
fLanguage
English
Journal_Title
Microwave and Wireless Components Letters, IEEE
Publisher
ieee
ISSN
1531-1309
Type
jour
DOI
10.1109/LMWC.2007.910466
Filename
4385289
Link To Document