A fast and accurate method for glaucoma screening from smartphone-captured fundus images
Author:
Funder
Campus France
Publisher
Elsevier BV
Subject
Biomedical Engineering,Biophysics
Reference66 articles.
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3. Qureshi I, Ma J, Abbas Q. Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy. Symmetry 2019;11(6):749 https://doi.org/10.3390/sym11060749.
4. Noronha KP, Acharya UR, Nayak KP, Martis RJ, Bhandary SV. Automated classification of glaucoma stages using higher order cumulant features. Biomedical Signal Processing and Control 2014; 10:174–183. https://doi.org/10.1016/j.bspc.2013.11.006.
5. Qureshi I, Ma J, Abbas Q. Diabetic retinopathy detection and stage classification in eye fundus images using active deep learning. Multimedia Tools and Applications 2021;1-31. https://doi.org/10.1007/s11042-020-10238-4.
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