Active Contouring with Morphology Assisted Automated Glaucoma Detection
Author:
Affiliation:
1. Khulna University of Engineering & Technology,Department of Biomedical Engineering,Khulna,Bangladesh,9203
2. Khulna University of Engineering & Technology,Department of Electronics and Communication Engineering,Khulna,Bangladesh,9203
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9768399/9768406/09768515.pdf?arnumber=9768515
Reference11 articles.
1. Early Detection of Glaucoma Based on Local Binary Pattern and Unsupervised Clustering Approaches Using Fundus Images;sikamani;Middle-East Journal of Scientific Research,2015
2. Deep learning assisted detection of glaucomatous optic neuropathy and potential designs for a generalizable model;wey;PLoS ONE,2020
3. Automated detection of glaucoma using structural and non structural features
4. Computer-aided diagnosis of glaucoma using fundus images: A review;koh;Compute Methods Programs Biomed PMID 30337064,2018
5. The comparison of GVF Snake Active Contour method and Ellipse Fit in optic disc detection for glaucoma diagnosis
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