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...
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: | |
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 |
Similar Items
-
Inter-grader reliability of a supervised pterygium redness grading system
by: Che Azemin, Mohd Zulfaezal, et al.
Published: (2016) -
GLCM texture analysis on different color space for pterygium grading
by: Che Azemin, Mohd Zulfaezal, et al.
Published: (2015) -
Prediction of changes in visual acuity and contrast sensitivity function by tissue redness after pterygium surgery
by: Hilmi, Mohd Radzi, et al.
Published: (2017) -
Minimal training time in supervised retinal vessel segmentation
by: Che Azemin, Mohd Zulfaezal
Published: (2014) -
Mathematical verification of summary formula in retinal vessel diameter measurement
by: Hao, Hao, et al.
Published: (2013)