Ground truth free retinal vessel segmentation by learning from simple pixels-Reference-Cited by-同舟云学术

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Ground truth free retinal vessel segmentation by learning from simple pixels

Published:2020-12-31 Issue:6 Volume:15 Page:1210-1220
ISSN:1751-9659
Container-title:IET Image Processing
language:en
Short-container-title:IET image process

Author:

Zou Beiji¹,Fu Hongpu¹²,Chen Zailiang¹,Liu Qing¹

Affiliation:

1. School of Computer Science Central South University Changsha China

2. Hunan First Normal University Changsha China

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Signal Processing,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/ipr2.12098

Reference38 articles.

1. Segmentation of vessel-like patterns using mathematical morphology and curvature evaluation

2. Segmentation of retinal blood vessels by combining the detection of centerlines and morphological reconstruction

3. Segmenting retinal vessels with revised top-bottom-hat transformation and flattening of minimum circumscribed ellipse

4. An Unsupervised Approach for Extraction of Blood Vessels from Fundus Images

5. Trainable COSFIRE filters for vessel delineation with application to retinal images

Cited by 1 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. CSAUNet: A cascade self-attention u-shaped network for precise fundus vessel segmentation;Biomedical Signal Processing and Control;2022-05

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