An automated glaucoma screening system using cup-to-disc ratio via Simple Linear Iterative Clustering superpixel approach-Reference-Cited by-同舟云学术

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An automated glaucoma screening system using cup-to-disc ratio via Simple Linear Iterative Clustering superpixel approach

Published:2019-08 Issue: Volume:53 Page:101454
ISSN:1746-8094
Container-title:Biomedical Signal Processing and Control
language:en
Short-container-title:Biomedical Signal Processing and Control

Author:

Mohamed Nur Ayuni,Zulkifley Mohd Asyraf,Zaki Wan Mimi Diyana Wan,Hussain Aini^ORCID

Funder

Universiti Kebangsaan Malaysia

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference59 articles.

1. SLIC superpixels compared to state-of-the-art superpixel methods;Achanta;IEEE Trans. Pattern Anal. Mach. Intell.,2012

2. Optic cup and optic disc analysis for glaucoma screening using pulse-coupled neural networks and line profile analysis;Adjei,2018

3. First and second order statistics features for classification of magnetic resonance brain images;Aggarwal;J. Signal Inf. Process.,2012

4. Measurement of optical cup-to-disc ratio in fundus images for glaucoma screening;Alghmdi,2015

5. A Novel Automatic Optic Disc and Cup Image Segmentation System for Diagnosing Glaucoma Using RIGA Dataset;Almazroa,2016

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