A Survey of Glaucoma Detection Algorithms using Fundus and OCT Images

Author:

Kiefer Riley1,Steen Jessica2,Abid Muhammad1,Ardali Mahsa R.2,Amjadian Ehsan3

Affiliation:

1. Florida Polytechnic University,Department of Computer Science,Lakeland,FL,USA

2. College of Optometry Nova Southeastern University,FL,USA

3. Cheriton School of Computer Science University of Waterloo,Ontario,Canada

Publisher

IEEE

Reference52 articles.

1. Introduction to convolutional neural networks;jianxin;National Key Lab for Software Technology Nanjing University,2017

2. Real-time glaucoma detection from digital fundus images using self-onns;ozer can;IEEE Access,2021

3. RIM-ONE: An open retinal image database for optic nerve evaluation;francisco;2011 24th International Symposium on Computer-Based Medical Systems (CBMS),0

4. DR HAGIS-a fundus image database for the automatic extraction of retinal surface vessels from diabetic patients;sven;Journal of Medical Imaging,2017

5. Identification of the optic nerve head with genetic algorithms

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