An automated and robust image processing algorithm for glaucoma diagnosis from fundus images using novel blood vessel tracking and bend point detection
Author:
Funder
Department of Science and Technology
Publisher
Elsevier BV
Subject
Health Informatics
Reference34 articles.
1. Automated diagnosis of glaucoma using empirical wavelet transform and correntropy features extracted from fundus images;Maheshwari;IEEE J. Biomed. Health Inf.,2017
2. Sparse dissimilarity-constrained coding for glaucoma screening;Cheng;IEEE Trans. Biomed. Eng.,2015
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