Title

Ultra-wideband scattered microwave signals for detection of breast tumors using artifical neural networks

Document Type

Conference Proceeding

Abstract

Microwaved scattered signals are of great importance, because of their various applications in many fields such as medicine, biology and other sciences. Microwave scattered signals are maps of the electrical property distributions in the body. The non-ionizing property of microwaves makes it a promising approach, thus permitting frequent examinations. Microwave electronics and test instrumentation is mature, compact, and relatively cheap compared to X-ray or MRI equipment. Neural network in today's world grabs massive attentions, neural network leads to high possibilities of broaden application in many fields of technology. Use of ANN increases the accuracy of most of the methods and reduces the need of the human expert. In this paper, a proposed computational method for detection of the breast tumors by using utra-wideband microwave technology. The proposed technique is based on the use of artifical neural network ANN.

Publication Date

10-6-2016

Faculty

Faculty of Arts and Design

Subject Area

Physical Sciences, General Computer Science

Indexed in Scopus

yes

Indexed in Web Of Science

yes

DOI

https://doi.org/10.1109/ICAIPR.2016.7585226

Keywords

Artifical Neural Network (ANN), Microwave Imaging, Ultra-Wideband (UWB)

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