Fibrovascular redness grading using Gaussian process regression with radial basis function kernel
Information obtained from redness grading can assist clinician for diagnosis and in making clinical decision. This research work aims to mimic human perception of fibrovascular redness using features extracted from color entropy. Gaussian process regression with the radial basis function kernel has...
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iium-422662019-05-28T01:26:42Z http://irep.iium.edu.my/42266/ Fibrovascular redness grading using Gaussian process regression with radial basis function kernel Che Azemin, Mohd. Zulfaezal Hilmi, Mohd Radzi Mohd. Kamal, Khairidzan Mohd Tamrin, Mohd Izzuddin RE Ophthalmology TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering Information obtained from redness grading can assist clinician for diagnosis and in making clinical decision. This research work aims to mimic human perception of fibrovascular redness using features extracted from color entropy. Gaussian process regression with the radial basis function kernel has been employed to fuse relevant features and established the model of redness perception. In this paper, we present the results of the radial basis function kernel incorporated as the covariance function in the GPR as the scale, sigma is varied. 2014 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/42266/1/42266.pdf application/pdf en http://irep.iium.edu.my/42266/4/42266_Fibrovascular%20redness%20grading%20using%20Gaussian_Scopus.pdf Che Azemin, Mohd. Zulfaezal and Hilmi, Mohd Radzi and Mohd. Kamal, Khairidzan and Mohd Tamrin, Mohd Izzuddin (2014) Fibrovascular redness grading using Gaussian process regression with radial basis function kernel. In: 2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES 2014), 8-10 December 2014, Miri, Sarawak. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=7047467 |
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RE Ophthalmology TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering |
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RE Ophthalmology TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices TK7885 Computer engineering Che Azemin, Mohd. Zulfaezal Hilmi, Mohd Radzi Mohd. Kamal, Khairidzan Mohd Tamrin, Mohd Izzuddin Fibrovascular redness grading using Gaussian process regression with radial basis function kernel |
description |
Information obtained from redness grading can assist clinician for diagnosis and in making clinical decision. This research work aims to mimic human perception of fibrovascular redness using features extracted from color entropy. Gaussian process regression with the radial basis function kernel has been employed to fuse relevant features and established the model of redness perception. In this paper, we present the results of the radial basis function kernel incorporated as the covariance function in the GPR as the scale, sigma is varied. |
format |
Conference or Workshop Item |
author |
Che Azemin, Mohd. Zulfaezal Hilmi, Mohd Radzi Mohd. Kamal, Khairidzan Mohd Tamrin, Mohd Izzuddin |
author_facet |
Che Azemin, Mohd. Zulfaezal Hilmi, Mohd Radzi Mohd. Kamal, Khairidzan Mohd Tamrin, Mohd Izzuddin |
author_sort |
Che Azemin, Mohd. Zulfaezal |
title |
Fibrovascular redness grading using Gaussian process regression with radial basis function kernel |
title_short |
Fibrovascular redness grading using Gaussian process regression with radial basis function kernel |
title_full |
Fibrovascular redness grading using Gaussian process regression with radial basis function kernel |
title_fullStr |
Fibrovascular redness grading using Gaussian process regression with radial basis function kernel |
title_full_unstemmed |
Fibrovascular redness grading using Gaussian process regression with radial basis function kernel |
title_sort |
fibrovascular redness grading using gaussian process regression with radial basis function kernel |
publishDate |
2014 |
url |
http://irep.iium.edu.my/42266/ http://irep.iium.edu.my/42266/ http://irep.iium.edu.my/42266/1/42266.pdf http://irep.iium.edu.my/42266/4/42266_Fibrovascular%20redness%20grading%20using%20Gaussian_Scopus.pdf |
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2023-09-18T21:00:17Z |
last_indexed |
2023-09-18T21:00:17Z |
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1777410577079992320 |