Retinal Vessel Segmentation based on Convolutional Neural Network and Connection Domain Detection-Reference-Cited by-同舟云学术

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Retinal Vessel Segmentation based on Convolutional Neural Network and Connection Domain Detection

Published:2021 Issue: Volume:187 Page:246-251
ISSN:1877-0509
Container-title:Procedia Computer Science
language:en
Short-container-title:Procedia Computer Science

Author:

Dou Quansheng,Zhang Jiayuan,Jiang Ping,Tang Huanling

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

General Engineering

Reference21 articles.

1. Detection of blood vessels in retinal images using two-dimensional matched filters [J];Chaudhuri;IEEE Transactions on Medical Imaging,1989

2. Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response[J];Hoover;IEEE Transactions on Medical Imaging,2000

3. Retinal vessel extraction by matched filter with first-order derivative of Gaussian[J];Zhang;Computers in Biology & Medicine,2010

4. Retinal image analysis using Curvelet transform and multistructure elements morphology by reconstruction [J];Miri;IEEE Transactions on Biomedical Engineering,2011

5. Quinn E A E, Krishnan K G. Retinal blood vessel segmentation using Curvelet transform and morphological reconstruction[C] //Proceedings of 2013 International Conference on Emerging Trends in Computing, Communication, and Nanotechnology. Los Alamitos: IEEE Computer Society Press, 2013: 570-575.

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Application of Convolution Neural Network Algorithm in English Translation;2023 International Conference on Integrated Intelligence and Communication Systems (ICIICS);2023-11-24

2. Optimization of Vessel Segmentation Using Genetic Algorithms;Intelligent Computing Theories and Application;2022

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