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Implementation of an improved cellular neural network algorithm for brain tumor detection

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Main Authors: Azian Azamimi, Abdullah, Bu, Sze Chize, Nishio, Yoshifumi
Other Authors: azamimi@unimap.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:
Brain tumor
Magnetic Resonance Imaging (MRI) images
cellular neural networks (CNNs)
Templates
Image processing
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/21399
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id my.unimap-21399
record_format dspace
spelling my.unimap-213992012-10-18T07:47:40Z Implementation of an improved cellular neural network algorithm for brain tumor detection Azian Azamimi, Abdullah Bu, Sze Chize Nishio, Yoshifumi azamimi@unimap.edu.my nishio@unimap.edu.my Brain tumor Magnetic Resonance Imaging (MRI) images cellular neural networks (CNNs) Templates Image processing Link to publisher's homepage at http://ieeexplore.ieee.org/ Image processing plays an important role in medical diagnosis. In this paper, a brain tumor detection method based on cellular neural networks (CNNs) is proposed. Brain tumor is an abnormal growth of cells inside the skull. To examine the location of tumor in the brain, Magnetic Resonance Imaging (MRI) is used. Radiologists will evaluate the grey scale MRI images. This procedure is really time and energy consuming. To overcome this problem, an automated detection method for brain tumor using CNN is developed. By using the template in the CNN simulator, output of the desired image can be performed. Therefore, many templates were combined in order to obtain an accurate result that will help radiologists detecting the tumor in brain images easily. 2012-10-18T07:47:40Z 2012-10-18T07:47:40Z 2012-02-27 Working Paper p. 611-615 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6178990 http://hdl.handle.net/123456789/21399 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE)
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 Brain tumor
Magnetic Resonance Imaging (MRI) images
cellular neural networks (CNNs)
Templates
Image processing
spellingShingle Brain tumor
Magnetic Resonance Imaging (MRI) images
cellular neural networks (CNNs)
Templates
Image processing
Azian Azamimi, Abdullah
Bu, Sze Chize
Nishio, Yoshifumi
Implementation of an improved cellular neural network algorithm for brain tumor detection
description Link to publisher's homepage at http://ieeexplore.ieee.org/
author2 azamimi@unimap.edu.my
author_facet azamimi@unimap.edu.my
Azian Azamimi, Abdullah
Bu, Sze Chize
Nishio, Yoshifumi
format Working Paper
author Azian Azamimi, Abdullah
Bu, Sze Chize
Nishio, Yoshifumi
author_sort Azian Azamimi, Abdullah
title Implementation of an improved cellular neural network algorithm for brain tumor detection
title_short Implementation of an improved cellular neural network algorithm for brain tumor detection
title_full Implementation of an improved cellular neural network algorithm for brain tumor detection
title_fullStr Implementation of an improved cellular neural network algorithm for brain tumor detection
title_full_unstemmed Implementation of an improved cellular neural network algorithm for brain tumor detection
title_sort implementation of an improved cellular neural network algorithm for brain tumor detection
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/21399
_version_ 1643793392545562624
score 13.222552

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