Detection and Classification of Hemorrhages in Retinal Images-Reference-Cited by-同舟云学术

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Detection and Classification of Hemorrhages in Retinal Images

Published:2023 Issue:2 Volume:44 Page:1601-1616
ISSN:0267-6192
Container-title:Computer Systems Science and Engineering
language:en
Short-container-title:

Author:

Ahmed Ali Ghassan,Mitib Ahmad Al Sariera Thamer,Akram Muhammad,Sulaiman Adel,Olayah Fekry

Publisher

Computers, Materials and Continua (Tech Science Press)

Subject

General Computer Science,Theoretical Computer Science,Control and Systems Engineering

Link

https://www.techscience.com/csse/v44n2/48267/pdf

Reference26 articles.

1. The utility of frame averaging for automated algorithms in analyzing retinal vascular biomarkers in AngioVue OCTA;Schmidt;Translational Vision Science & Technology,2019

2. Extraction of micro-aneurysms and hemorrhages from digital retinal images;Mamilla;Journal of Medical and Biological Engineering,2017

3. Detection of hemorrhage in retinal images using linear classifiers and iterative thresholding approaches based on firefly and particle swarm optimization algorithms;Adem;Turkish Journal of Electrical Engineering & Computer Sciences,2019

4. Automated method for hierarchal detection and grading of diabetic retinopathy;Sengar;Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization,2018

5. A study on haemorrhage detection using hybrid method in fundus images;Journal of Digital Imaging,2011

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