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Tissues segmentation of brain MR Image by utilizing artificial neural network

The anatomical structure of human brain is very complex. For diagnosing the presence of certain possible pathology, some times the surgeons have to navigate through each and every pixel to ascertain its possible association with a specific group of tissues. Due to the volume of MRIs because of i...

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Main Authors: Ahmed, M. Masroor, Mohamad, Dzuldifli
Format: Book Section
Published: Penerbit UTM 2007
Subjects:
QA75 Electronic computers. Computer science
Online Access:http://eprints.utm.my/id/eprint/14172/
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spelling my.utm.141722011-08-18T09:24:31Z http://eprints.utm.my/id/eprint/14172/ Tissues segmentation of brain MR Image by utilizing artificial neural network Ahmed, M. Masroor Mohamad, Dzuldifli QA75 Electronic computers. Computer science The anatomical structure of human brain is very complex. For diagnosing the presence of certain possible pathology, some times the surgeons have to navigate through each and every pixel to ascertain its possible association with a specific group of tissues. Due to the volume of MRIs because of its various views i.e. coronal, axial and sagital, practically, it is extremely difficult to carryout human visual inspection for deciding about the health of brain. Therefore, an efficient automatic system is need of the hour to perform this job with the highest possible degree of reliability and accuracy. This chapter discusses the use of Artificial Neural Network (ANN) for the segmentation of brain MR images. Penerbit UTM 2007 Book Section PeerReviewed Ahmed, M. Masroor and Mohamad, Dzuldifli (2007) Tissues segmentation of brain MR Image by utilizing artificial neural network. In: Advances in image processing and pattern recognition: algorithms & practice. Penerbit UTM , Johor, 155-164 . ISBN 978-983-52-0621-4
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Ahmed, M. Masroor
Mohamad, Dzuldifli
Tissues segmentation of brain MR Image by utilizing artificial neural network
description The anatomical structure of human brain is very complex. For diagnosing the presence of certain possible pathology, some times the surgeons have to navigate through each and every pixel to ascertain its possible association with a specific group of tissues. Due to the volume of MRIs because of its various views i.e. coronal, axial and sagital, practically, it is extremely difficult to carryout human visual inspection for deciding about the health of brain. Therefore, an efficient automatic system is need of the hour to perform this job with the highest possible degree of reliability and accuracy. This chapter discusses the use of Artificial Neural Network (ANN) for the segmentation of brain MR images.
format Book Section
author Ahmed, M. Masroor
Mohamad, Dzuldifli
author_facet Ahmed, M. Masroor
Mohamad, Dzuldifli
author_sort Ahmed, M. Masroor
title Tissues segmentation of brain MR Image by utilizing artificial neural network
title_short Tissues segmentation of brain MR Image by utilizing artificial neural network
title_full Tissues segmentation of brain MR Image by utilizing artificial neural network
title_fullStr Tissues segmentation of brain MR Image by utilizing artificial neural network
title_full_unstemmed Tissues segmentation of brain MR Image by utilizing artificial neural network
title_sort tissues segmentation of brain mr image by utilizing artificial neural network
publisher Penerbit UTM
publishDate 2007
url http://eprints.utm.my/id/eprint/14172/
_version_ 1643646343129858048
score 13.18916

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