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...
Main Authors: | Che Azemin, Mohd. Zulfaezal, Hilmi, Mohd Radzi, Mohd. Kamal, Khairidzan, Mohd Tamrin, Mohd Izzuddin |
---|---|
Format: | Conference or Workshop Item |
Language: | English English |
Published: |
2014
|
Subjects: | |
Online Access: | 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 |
Similar Items
-
Supervised pterygium fibrovascular redness grading using generalized regression neural network
by: Che Azemin, Mohd Zulfaezal, et al.
Published: (2014) -
Supervised vessel segmentation with minimal features
by: Che Azemin, Mohd Zulfaezal, et al.
Published: (2014) -
Automated inferior tear meniscus height measurement in a sequence of video
by: Che Azemin, Mohd Zulfaezal, et al.
Published: (2012) -
Supervised retinal vessel segmentation based on neural network using broader aging dataset
by: Che Azemin, Mohd. Zulfaezal, et al.
Published: (2014) -
Validation of low-cost eye tracking setup for smooth pursuit application
by: Che Azemin, Mohd Zulfaezal, et al.
Published: (2014)