A new approach for retinal vessel differentiation using binary particle swarm optimization-Reference-Cited by-同舟云学术

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A new approach for retinal vessel differentiation using binary particle swarm optimization

Published:2021-01-12 Issue:5 Volume:9 Page:510-522
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Irshad Samra¹,Yin Xiaoxia²,Zhang Yanchun³

Affiliation:

1. School of Software and Electrical Engineering, Swinburne University of Technology, Melbourne, Australia

2. Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou, China

3. Institute for Sustainable Industries and Liveable Cities, Victoria University, Melbourne, Australia

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2020.1870001

Reference69 articles.

1. A comparison of feature selection models utilizing binary particle swarm optimization and genetic algorithm in determining coronary artery disease using support vector machine

2. Support-vector networks

3. Nearest neighbor pattern classification

4. Feature Selection for Classification

5. An Automatic Graph-Based Approach for Artery/Vein Classification in Retinal Images

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1. Automatic artery/vein classification methods for retinal blood vessel: A review;Computerized Medical Imaging and Graphics;2024-04

2. A new parallel multi-objective Harris hawk algorithm for predicting the mortality of COVID-19 patients;PeerJ Computer Science;2023-06-14

3. Automated Systems for Calculating Arteriovenous Ratio in Retinographies: A Scoping Review;Diagnostics;2022-11-18

4. U-Net-Based Medical Image Segmentation;Journal of Healthcare Engineering;2022-04-15

5. Predicting the severity of COVID ‐19 patients using a multi‐threaded evolutionary feature selection algorithm;Expert Systems;2022-02

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