Title
Automated segmentation of the optic nerve head for diagnosis of glaucoma.
Abstract
Glaucoma is the second most common cause of blindness worldwide. Low awareness and high costs connected to glaucoma are reasons to improve methods of screening and therapy. A well-established method for diagnosis of glaucoma is the examination of the optic nerve head using scanning-laser-tomography. This system acquires and analyzes the surface topography of the optic nerve head. The analysis that leads to a diagnosis of the disease depends on prior manual outlining of the optic nerve head by an experienced ophthalmologist.
Year
DOI
Venue
2005
10.1016/j.media.2004.12.004
Medical Image Analysis
Keywords
Field
DocType
Anchored active contour model,Glaucoma,Optic nerve head,Scanning-laser-tomography,Segmentation
Active contour model,Computer vision,Glaucoma,Head segmentation,Segmentation,Hough transform,Bootstrap aggregating,Artificial intelligence,Linear discriminant analysis,Mathematics,Optic nerve
Journal
Volume
Issue
ISSN
9
4
1361-8415
Citations 
PageRank 
References 
50
3.73
8
Authors
10
Name
Order
Citations
PageRank
Radim Chrástek1857.87
Matthias Wolf211612.22
K Donath3503.73
H Niemann4503.73
D. Paulus5646.46
T. Hothorn6585.43
B. Lausen7585.29
Robert Lämmer8524.49
C Y Mardin9503.73
G Michelson10503.73