Automatic measurement of cup to disc ratio for diagnosis of glaucoma on retinal fundus images

2013 ◽  
Author(s):  
Azin Poshtyar ◽  
Jamshid Shanbehzadeh ◽  
Hamid Ahmadieh
Keyword(s):  
Automatic Measurement ◽  
Fundus Images ◽  
Retinal Fundus Images ◽  
Retinal Fundus ◽  
Cup To Disc Ratio

Automatic Measurement of Vertical Cup-to-Disc Ratio on Retinal Fundus Images

2010 ◽  
pp. 64-72 ◽  
Author(s):  
Yuji Hatanaka ◽  
Atsushi Noudo ◽  
Chisako Muramatsu ◽  
Akira Sawada ◽  
Takeshi Hara ◽  
...  
Keyword(s):  
Automatic Measurement ◽  
Fundus Images ◽  
Retinal Fundus Images ◽  
Retinal Fundus ◽  
Cup To Disc Ratio

scholarly journals Automatic Determination of Vertical Cup-to-Disc Ratio in Retinal Fundus Images for Glaucoma Screening

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 8527-8541 ◽  
Author(s):  
Jiapan Guo ◽  
George Azzopardi ◽  
Chenyu Shi ◽  
Nomdo M. Jansonius ◽  
Nicolai Petkov
Keyword(s):  
Fundus Images ◽  
Automatic Determination ◽  
Glaucoma Screening ◽  
Retinal Fundus Images ◽  
Retinal Fundus ◽  
Cup To Disc Ratio

Automated determination of cup-to-disc ratio for classification of glaucomatous and normal eyes on stereo retinal fundus images

2011 ◽  
Vol 16 (9) ◽  
pp. 096009 ◽  
Author(s):  
Chisako Muramatsu ◽  
Toshiaki Nakagawa ◽  
Akira Sawada ◽  
Yuji Hatanaka ◽  
Tetsuya Yamamoto ◽  
...  
Keyword(s):  
Fundus Images ◽  
Retinal Fundus Images ◽  
Retinal Fundus ◽  
Automated Determination ◽  
Cup To Disc Ratio

scholarly journals Survey on Automatic Detection of Glaucoma through Deep Learning Using Retinal Fundus Images

2020 ◽  
Vol 7 (4) ◽  
pp. 11-15
Author(s):  
Diwakaran ◽  
S.Sheeba Jeya Sophia
Keyword(s):  
Optic Nerve ◽  
High Efficiency ◽  
Structural Features ◽  
Fundus Images ◽  
Non Invasive ◽  
Glaucoma Detection ◽  
Retinal Fundus Images ◽  
Retinal Fundus ◽  
Isnt Rule ◽  
Cup To Disc Ratio

Glaucoma - a disease which causes damage to our eye's optic nerve and subsequently blinds the vision. This occurs due to increased intraocular pressure (IOP) which causes the damage of optic nerve axons at the back of the eye, with eventual deterioration of vision. Presently, many works have been done towards automatic glaucoma detection using Fundus Images (FI) by extracting structural features. Structural features can be extracted from optic nerve head (ONH) analysis, cup to disc ratio (CDR) and Inferior, Superior, Nasal, Temporal (ISNT) rule in Fundus Image for glaucoma assessment.This survey presents various techniques for the early detection of glaucoma. Among the various techniques, retinal image-based detection plays a major role as it comes under non-invasive methods of detection. Here, a review and study were conducted for the different techniques of glaucoma detection using retinal fundus images. The objective of this survey is to obtain a technique which automatically analyze the retinal images of the eye with high efficiency and accuracy

Sign in / Sign up

Export Citation Format

Share Document