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Proficient feature extraction strategy for performance enhancement of NN based early breast tumor detection

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Main Authors: Khondker Jahid, Reza, Sabira, Khatun, Prof. Dr., Mohd. Faizal, Jamlos, Dr., Ikram, E-Khuda, Zahereel Ishwar, Abdul Khalib, Dr.
Other Authors: jahid_rifat@yahoo.com
Format: Article
Language:English
Published: Engg Journals Publications 2014
Subjects:
Breast Cancer Detection
Discrete Cosine Transform
Feature Extraction
Neural Network
Ultra Wide-Band
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/33551
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spelling my.unimap-335512014-04-09T05:09:59Z Proficient feature extraction strategy for performance enhancement of NN based early breast tumor detection Khondker Jahid, Reza Sabira, Khatun, Prof. Dr. Mohd. Faizal, Jamlos, Dr. Ikram, E-Khuda Zahereel Ishwar, Abdul Khalib, Dr. jahid_rifat@yahoo.com sabira@unimap.edu.my faizaljamlos@unimap.edu.my ikramekhuda@gmail.com zahereel@unimap.edu.my Breast Cancer Detection Discrete Cosine Transform Feature Extraction Neural Network Ultra Wide-Band Link to publisher's homepage at http://www.enggjournals.com/ Ultra Wideband is one of the promising microwave imaging techniques for breast tumor prognosis. The basic principle of tumor detection depends on the dielectric properties discrepancies between healthy and tumorous tissue. Usually, the tumor affected tissues scatter more signal than the healthy one and are used for early tumor detection through received pulses. Feedforward backpropagation neural network(NN) was so far used for some research works by showing its detection efficiency up to 1mm (radius) size with 95.8% accuracy. This paper introduces an efficient feature extraction method to further improve the performance by considering four main features of backpropagation NN. This performance is being increased to 99.99%. This strategy is well justified for classifying the normal and tumor affected breast with 100% accuracy in its early stage. It also enhances the training and testing performances by reducing the required duration. The overall performance is 99.99% verified by using thirteen different tumor sizes. 2014-04-09T05:09:59Z 2014-04-09T05:09:59Z 2013 Article International Journal of Engineering and Technology, vol. 5(6), 2013, pages 4689-4696 2319-8613 http://www.enggjournals.com/ijet/vol5issue6.html http://dspace.unimap.edu.my:80/dspace/handle/123456789/33551 en Engg Journals Publications
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Breast Cancer Detection
Discrete Cosine Transform
Feature Extraction
Neural Network
Ultra Wide-Band
spellingShingle Breast Cancer Detection
Discrete Cosine Transform
Feature Extraction
Neural Network
Ultra Wide-Band
Khondker Jahid, Reza
Sabira, Khatun, Prof. Dr.
Mohd. Faizal, Jamlos, Dr.
Ikram, E-Khuda
Zahereel Ishwar, Abdul Khalib, Dr.
Proficient feature extraction strategy for performance enhancement of NN based early breast tumor detection
description Link to publisher's homepage at http://www.enggjournals.com/
author2 jahid_rifat@yahoo.com
author_facet jahid_rifat@yahoo.com
Khondker Jahid, Reza
Sabira, Khatun, Prof. Dr.
Mohd. Faizal, Jamlos, Dr.
Ikram, E-Khuda
Zahereel Ishwar, Abdul Khalib, Dr.
format Article
author Khondker Jahid, Reza
Sabira, Khatun, Prof. Dr.
Mohd. Faizal, Jamlos, Dr.
Ikram, E-Khuda
Zahereel Ishwar, Abdul Khalib, Dr.
author_sort Khondker Jahid, Reza
title Proficient feature extraction strategy for performance enhancement of NN based early breast tumor detection
title_short Proficient feature extraction strategy for performance enhancement of NN based early breast tumor detection
title_full Proficient feature extraction strategy for performance enhancement of NN based early breast tumor detection
title_fullStr Proficient feature extraction strategy for performance enhancement of NN based early breast tumor detection
title_full_unstemmed Proficient feature extraction strategy for performance enhancement of NN based early breast tumor detection
title_sort proficient feature extraction strategy for performance enhancement of nn based early breast tumor detection
publisher Engg Journals Publications
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/33551
_version_ 1643797208383881216
score 13.222552

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