Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images-Reference-Cited by-同舟云学术

Comprehensive review of retinal blood vessel segmentation and classification techniques: intelligent solutions for green computing in medical images, current challenges, open issues, and knowledge gaps in fundus medical images

Published:2021-03-19 Issue:1 Volume:10 Page:
ISSN:2192-6662
Container-title:Network Modeling Analysis in Health Informatics and Bioinformatics
language:en
Short-container-title:Netw Model Anal Health Inform Bioinforma

Author:

Abdulsahib Aws A.,Mahmoud Moamin A.,Mohammed Mazin Abed^ORCID,Rasheed Hind Hameed,Mostafa Salama A.,Maashi Mashael S.

Publisher

Springer Science and Business Media LLC

Subject

Urology

Link

https://link.springer.com/content/pdf/10.1007/s13721-021-00294-7.pdf

Reference171 articles.

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4. Adel M, Rasigni M, Gaidon T, Fossati C and Bourennane S (2009) Statistical-based linear vessel structure detection in medical images. In 2009 16th IEEE international conference on image processing (ICIP) (649–652)

5. Akhavan RAFK (2014) A novel retinal blood vessel segmentation algorithm using fuzzy segmentation. Int J Elect Comp Eng 4(4):561

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