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Development of cellular neural network algorithm for detecting lung cancer symptoms

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Bibliographic Details
Main Authors: Azian Azamimi, Abdullah, Hasdiana, Mohamaddiah
Other Authors: azamimi@unimap.edu.my
Format: Working Paper
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Subjects:
Lung cancer
Cellular neural networks
X-ray films
Image processing
Online Access:http://dspace.unimap.edu.my/xmlui/handle/123456789/18750
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spelling my.unimap-187502012-04-10T08:31:31Z Development of cellular neural network algorithm for detecting lung cancer symptoms Azian Azamimi, Abdullah Hasdiana, Mohamaddiah azamimi@unimap.edu.my s061150177@unimap.edu.my Lung cancer Cellular neural networks X-ray films Image processing Link to publisher's homepage at http://ieeexplore.ieee.org/ Lung cancer is the most common of lethal types of cancer. One of the most important and difficult tasks a doctor has to carry out is the detection and diagnosis of cancerous lung nodules from x-ray image's result. Some of these lesions may not be detected because of camouflaged by the underlying anatomical structure, the low-quality of the images or the subjective and variable decision criteria used by doctors. Hence, a detection system using cellular neural network (CNN) is developed in order to help the doctors to recognize the doubtful lung cancer regions in x-ray films. In this study, a CNN algorithm for detecting the boundary and area of lung cancer in x-ray image has been proposed. Computer simulation result shows that our CNN algorithm is verified to detect some key lung cancer symptoms successfully and has been proved by radiologist. 2012-04-10T08:31:31Z 2012-04-10T08:31:31Z 2010-11-30 Working Paper p. 138-143 978-1-4244-7600-8 http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5742216 http://hdl.handle.net/123456789/18750 en Proceedings of the IEEE EMBS Conference on Biomedical Engineering and Sciences, IECBES 2010 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 Lung cancer
Cellular neural networks
X-ray films
Image processing
spellingShingle Lung cancer
Cellular neural networks
X-ray films
Image processing
Azian Azamimi, Abdullah
Hasdiana, Mohamaddiah
Development of cellular neural network algorithm for detecting lung cancer symptoms
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
Hasdiana, Mohamaddiah
format Working Paper
author Azian Azamimi, Abdullah
Hasdiana, Mohamaddiah
author_sort Azian Azamimi, Abdullah
title Development of cellular neural network algorithm for detecting lung cancer symptoms
title_short Development of cellular neural network algorithm for detecting lung cancer symptoms
title_full Development of cellular neural network algorithm for detecting lung cancer symptoms
title_fullStr Development of cellular neural network algorithm for detecting lung cancer symptoms
title_full_unstemmed Development of cellular neural network algorithm for detecting lung cancer symptoms
title_sort development of cellular neural network algorithm for detecting lung cancer symptoms
publisher Institute of Electrical and Electronics Engineers (IEEE)
publishDate 2012
url http://dspace.unimap.edu.my/xmlui/handle/123456789/18750
_version_ 1643792259746889728
score 13.18916

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