Automatic early glaucoma detection by extracting parapapillary atrophy and optic disc from fundus image using SVM

Author(s):  
Shailesh Kumar ◽  
Basant Kumar
2016 ◽  
Vol 25 (5) ◽  
pp. e520-e525 ◽  
Author(s):  
Michael Waisbourd ◽  
Emily A. Bond ◽  
Timothy Sullivan ◽  
Wanda D. Hu ◽  
Sonya B. Shah ◽  
...  

2021 ◽  
Author(s):  
Kiruthiga Devi M ◽  
Lingamuthu K ◽  
Baskar M ◽  
Deepa B ◽  
Merlin G

Glaucoma which is known as the “thief of sight”, is an irreversible eye disease It is mainly caused by increased intraocular pressure (IOP), or loss of blood supply to the optic nerve. Glaucoma detection and diagnosis is very important. By analyzing the optic disc and its surroundings, This paper introduces a method for providing automated glaucoma screening services based on a framework that proposes a retinal image synthesizer for glaucoma assessment by analyzing the optic disc and its surroundings. The Cup to Disc Ratio (CDR) is critical for the system, and it is calculated using 2-D retinal fundus images. The synthetic images produced by our system are compared quantitatively. The structural properties of synthetic and real images are analyzed, and the quality of colour is calculated by extracting the 2-D histogram. The system allows patients to receive low-cost remote diagnostics from a distance, preventing blindness and vision loss by early detection and management.


Sign in / Sign up

Export Citation Format

Share Document