Fibrovascular redness grading using Gaussian process regression with radial basis function kernel

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.

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Abstract

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.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	6768/42266 (ISBN: 978-1-4799-4084-4/14, DOI: 10.1109/IECBES.2014.7047467)
Uncontrolled Keywords:	Fibrovascular redness
Subjects:	R Medicine > RE Ophthalmology T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Allied Health Sciences > Department of Optometry and Visual Science Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Medicine
Depositing User:	Mohd Izzuddin Mohd Tamrin
Date Deposited:	10 Mar 2015 12:05
Last Modified:	09 Nov 2022 15:43
URI:	http://irep.iium.edu.my/id/eprint/42266

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