An accurate unsupervised extraction of retinal vasculature using curvelet transform and classical morphological operators-Reference-Cited by-同舟云学术

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An accurate unsupervised extraction of retinal vasculature using curvelet transform and classical morphological operators

Published:2024-08 Issue: Volume:178 Page:108801
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Ghislain Feudjio^ORCID,Beaudelaire Saha Tchinda,Daniel Tchiotsop

Publisher

Elsevier BV

Reference54 articles.

1. Screening of Glaucoma disease from retinal vessel images using semantic segmentation;Imtiaz;Comput. Electr. Eng.,2021

2. Detection and diabetic retinopathy grading using digital retinal images;Malhi;Int. J. Intell. Robotics Appli.,2023

3. Retinal vessel extraction using Lattice Neural Networks with dendritic processing;Vega;Comput. Biol. Med.,2015

4. An unsupervised approach for extraction of blood vessels from fundus images;Dash;J. Digit. Imag.,2018

5. An automated blood vessel segmentation algorithm using histogram equalization and automatic threshold selection;Saleh;J. Digit. Imag.,2010

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