Microscopic retinal blood vessels detection and segmentation using support vector machine and K‐nearest neighbors-Reference-Cited by-同舟云学术

Microscopic retinal blood vessels detection and segmentation using support vector machine and K‐nearest neighbors

Published:2022-01-17 Issue:5 Volume:85 Page:1899-1914
ISSN:1059-910X
Container-title:Microscopy Research and Technique
language:en
Short-container-title:Microscopy Res & Technique

Author:

Rehman Amjad¹^ORCID,Harouni Majid²^ORCID,Karimi Mohsen³,Saba Tanzila¹,Bahaj Saeed Ali⁴,Awan Mazar Javed⁵

Affiliation:

1. Artificial Intelligence & Data Analytics Lab CCIS Prince Sultan University Riyadh Saudi Arabia

2. Department of Computer Engineering Dolatabad Branch, Islamic Azad University Isfahan Iran

3. Department of Bioelectrics and Biomedical Engineering, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences Isfahan Iran

4. MIS Department College of Business Administration Prince Sattam Bin Abdulaziz University Alkharj Saudi Arabia

5. Department of Software Engineering University of Management and Technology Lahore Pakistan

Publisher

Wiley

Subject

Medical Laboratory Technology,Instrumentation,Histology,Anatomy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jemt.24051

Reference59 articles.

1. A supervised blood vessel segmentation technique for digital Fundus images using Zernike Moment based features

2. Data Hiding Based on Improved Exploiting Modification Direction Method and Huffman Coding

3. Automated techniques for blood vessels segmentation through fundus retinal images: A review

4. Brain tumor detection using statistical and machine learning method

5. Retina identification based on the pattern of blood vessels using fuzzy logic

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