UWB imaging for breast cancer detection using neural network.

This paper presents a simple 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...

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Main Authors: AlShehri , S. A., Khatun, Sabira
Format: Article
Language:English
English
Published: EMW Publishing 2009
Online Access:http://psasir.upm.edu.my/id/eprint/17569/
http://psasir.upm.edu.my/id/eprint/17569/1/UWB%20imaging%20for%20breast%20cancer%20detection%20using%20neural%20network.pdf
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author AlShehri , S. A.
Khatun, Sabira
author_facet AlShehri , S. A.
Khatun, Sabira
author_sort AlShehri , S. A.
building UPM Institutional Repository
collection Online Access
description This paper presents a simple 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 8 GHz 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 94.4% 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.
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last_indexed 2025-11-15T08:12:28Z
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spelling upm-175692015-11-30T05:02:38Z http://psasir.upm.edu.my/id/eprint/17569/ UWB imaging for breast cancer detection using neural network. AlShehri , S. A. Khatun, Sabira This paper presents a simple 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 8 GHz 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 94.4% 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. EMW Publishing 2009 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/17569/1/UWB%20imaging%20for%20breast%20cancer%20detection%20using%20neural%20network.pdf AlShehri , S. A. and Khatun, Sabira (2009) UWB imaging for breast cancer detection using neural network. Progress In Electromagnetics Research, 7. pp. 79-93. ISSN 1070-4698; ESSN: 1559-8985 English
spellingShingle AlShehri , S. A.
Khatun, Sabira
UWB imaging for breast cancer detection using neural network.
title UWB imaging for breast cancer detection using neural network.
title_full UWB imaging for breast cancer detection using neural network.
title_fullStr UWB imaging for breast cancer detection using neural network.
title_full_unstemmed UWB imaging for breast cancer detection using neural network.
title_short UWB imaging for breast cancer detection using neural network.
title_sort uwb imaging for breast cancer detection using neural network.
url http://psasir.upm.edu.my/id/eprint/17569/
http://psasir.upm.edu.my/id/eprint/17569/1/UWB%20imaging%20for%20breast%20cancer%20detection%20using%20neural%20network.pdf