Supervised pterygium fibrovascular redness grading using generalized regression neural network

Pterygium is a growth on the eye that can cause blindness, with countries closer to the equator showing higher rate of incidence. However, there is a lack of research to study the severity and properties of the tissue. We propose the use of Generalized Neural Network (GRNN) to objectively...

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Main Authors:	Che Azemin, Mohd Zulfaezal, Hilmi, Mohd. Radzi, Mohd. Kamal, Khairidzan
Format:	Conference or Workshop Item
Language:	English English
Published:	IOS Press 2014
Subjects:	RE Ophthalmology TA164 Bioengineering
Online Access:	http://irep.iium.edu.my/40795/ http://irep.iium.edu.my/40795/ http://irep.iium.edu.my/40795/ http://irep.iium.edu.my/40795/7/40795%20Supervised%20pterygium%20fibrovascular%20redness%20grading.pdf http://irep.iium.edu.my/40795/8/40795%20Supervised%20pterygium%20fibrovascular%20redness%20grading%20SCOPUS.pdf

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recordtype	eprints
spelling	iium-407952019-05-28T01:06:37Z http://irep.iium.edu.my/40795/ Supervised pterygium fibrovascular redness grading using generalized regression neural network Che Azemin, Mohd Zulfaezal Hilmi, Mohd. Radzi Mohd. Kamal, Khairidzan RE Ophthalmology TA164 Bioengineering Pterygium is a growth on the eye that can cause blindness, with countries closer to the equator showing higher rate of incidence. However, there is a lack of research to study the severity and properties of the tissue. We propose the use of Generalized Neural Network (GRNN) to objectively quantify redness of the fibrovascular tissue. Comparative analysis using multiple feature selection algorithms indicates that error can be minimized when use with optimal set of features and suitable GRNN spread parameter. Features nominated by Minimum Redundancy Maximum Relevance gives the best performance with SSE = 3.55 and GRNN spread = 0.47. IOS Press 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/40795/7/40795%20Supervised%20pterygium%20fibrovascular%20redness%20grading.pdf application/pdf en http://irep.iium.edu.my/40795/8/40795%20Supervised%20pterygium%20fibrovascular%20redness%20grading%20SCOPUS.pdf Che Azemin, Mohd Zulfaezal and Hilmi, Mohd. Radzi and Mohd. Kamal, Khairidzan (2014) Supervised pterygium fibrovascular redness grading using generalized regression neural network. In: 13th International Conference on New Trends in Intelligent Software Methodology Tools, and Techniques (SoMeT_14), 22nd-24th September 2014, Langkawi, Kedah, Malaysia. http://ebooks.iospress.nl/volumearticle/37350 10.3233/978-1-61499-434-3-650
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	RE Ophthalmology TA164 Bioengineering
spellingShingle	RE Ophthalmology TA164 Bioengineering Che Azemin, Mohd Zulfaezal Hilmi, Mohd. Radzi Mohd. Kamal, Khairidzan Supervised pterygium fibrovascular redness grading using generalized regression neural network
description	Pterygium is a growth on the eye that can cause blindness, with countries closer to the equator showing higher rate of incidence. However, there is a lack of research to study the severity and properties of the tissue. We propose the use of Generalized Neural Network (GRNN) to objectively quantify redness of the fibrovascular tissue. Comparative analysis using multiple feature selection algorithms indicates that error can be minimized when use with optimal set of features and suitable GRNN spread parameter. Features nominated by Minimum Redundancy Maximum Relevance gives the best performance with SSE = 3.55 and GRNN spread = 0.47.
format	Conference or Workshop Item
author	Che Azemin, Mohd Zulfaezal Hilmi, Mohd. Radzi Mohd. Kamal, Khairidzan
author_facet	Che Azemin, Mohd Zulfaezal Hilmi, Mohd. Radzi Mohd. Kamal, Khairidzan
author_sort	Che Azemin, Mohd Zulfaezal
title	Supervised pterygium fibrovascular redness grading using generalized regression neural network
title_short	Supervised pterygium fibrovascular redness grading using generalized regression neural network
title_full	Supervised pterygium fibrovascular redness grading using generalized regression neural network
title_fullStr	Supervised pterygium fibrovascular redness grading using generalized regression neural network
title_full_unstemmed	Supervised pterygium fibrovascular redness grading using generalized regression neural network
title_sort	supervised pterygium fibrovascular redness grading using generalized regression neural network
publisher	IOS Press
publishDate	2014
url	http://irep.iium.edu.my/40795/ http://irep.iium.edu.my/40795/ http://irep.iium.edu.my/40795/ http://irep.iium.edu.my/40795/7/40795%20Supervised%20pterygium%20fibrovascular%20redness%20grading.pdf http://irep.iium.edu.my/40795/8/40795%20Supervised%20pterygium%20fibrovascular%20redness%20grading%20SCOPUS.pdf
first_indexed	2023-09-18T20:58:29Z
last_indexed	2023-09-18T20:58:29Z
_version_	1777410464633847808

Supervised pterygium fibrovascular redness grading using generalized regression neural network

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