Glaucoma detection using image processing techniques: A literature review-Reference-Cited by-同舟云学术

Glaucoma detection using image processing techniques: A literature review

Published:2019-12 Issue: Volume:78 Page:101657
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Sarhan Abdullah,Rokne Jon,Alhajj Reda

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference119 articles.

1. BIOMISA Research Group. Peripallary atrophy zones. https://goo.gl/BPKvGv (accessed: 23.11.16).

2. Biologically-inspired supervised vasculature segmentation in slo retinal fundus images;Abbasi-Sureshjani,2015

3. Localization and segmentation of optic disc in retinal images using circular hough transform and grow-cut algorithm;Abdullah;PeerJ,2016

4. A novel algorithm to detect glaucoma risk using texton and local configuration pattern features extracted from fundus images;Acharya;Comput. Biol. Med.,2017

5. Retinal vessel density from optical coherence tomography angiography to differentiate early glaucoma, pre-perimetric glaucoma and normal eyes;Akil;PLOS ONE,2017

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