Paper Info
Title
Focal edge association to glaucoma diagnosis.
Abstract
Glaucoma is an optic nerve disease resulting in the loss of vision. There are two common types of glaucoma: open angle glaucoma and angle closure glaucoma. Glaucoma type classification is important in glaucoma diagnosis. Clinically, ophthalmologists examine the iridocorneal angle between iris and cornea to determine the glaucoma type as well as the degree of closure. However, manual grading of the iridocorneal angle images is subjective and often time consuming. In this paper, we propose focal edge for automated iridocorneal angle grading. The iris surface is located to determine focal region and focal edges. The association between focal edges and angle grades is built through machine learning. A modified grading system with three grades is adopted. The experimental results show that the proposed method can correctly classify 87.3% open angle and 88.4% closed angle. Moreover, it can correctly classify 75.0% grade 1 and 77.4% grade 0 for angle closure cases.
Year
DOI
Venue
2011
10.1109/IEMBS.2011.6091111
EMBC
Keywords
Field
DocType
eye,automated iridocorneal angle grading,focal planes,diseases,glaucoma type classification,biomedical optical imaging,modified grading system,learning (artificial intelligence),open angle glaucoma,vision loss,glaucoma diagnosis,image classification,angle closure glaucoma,optic nerve disease,focal edge association,machine learning,iris,ophthalmologists,medical image processing,accuracy,edge detection,learning artificial intelligence
Computer vision,Iris surface,Glaucoma,Computer science,Cornea,Angle-closure glaucoma,Iridocorneal angle,Artificial intelligence,Closed angle,Optic nerve
Conference
Volume
ISSN
ISBN
2011
1557-170X
978-1-4244-4122-8
Citations 
PageRank 
References 
0
0.34
2
Authors
9
Name
Order
Citations
PageRank
Jun Cheng114910.18
Liu Jiang2191.40
Wong Damon Wing Kee300.34
Ngan Meng Tan417515.21
Beng Hai Lee5172.40
Cheung Carol6191.40
Baskaran Mani7191.40
Tien Yin Wong8596.85
Aung Tin9191.40