Comparative analysis of vessel segmentation techniques in retinal images
The blood vessels are the primary anatomical structure that can be visible in retinal images.
The segmentation of retinal blood vessels has been accepted worldwide for the diagnosis of …
The segmentation of retinal blood vessels has been accepted worldwide for the diagnosis of …
[HTML][HTML] Detection of glaucoma using retinal fundus images: A comprehensive review
Content-based image analysis and computer vision techniques are used in various health-
care systems to detect the diseases. The abnormalities in a human eye are detected through …
care systems to detect the diseases. The abnormalities in a human eye are detected through …
Automatic detection of vascular bifurcations in segmented retinal images using trainable COSFIRE filters
G Azzopardi, N Petkov - Pattern Recognition Letters, 2013 - Elsevier
Background: The vascular tree observed in a retinal fundus image can provide clues for
cardiovascular diseases. Its analysis requires the identification of vessel bifurcations and …
cardiovascular diseases. Its analysis requires the identification of vessel bifurcations and …
Retinal vessel segmentation using multi-scale textons derived from keypoints
L Zhang, M Fisher, W Wang - Computerized Medical Imaging and Graphics, 2015 - Elsevier
This paper presents a retinal vessel segmentation algorithm which uses a texton dictionary
to classify vessel/non-vessel pixels. However, in contrast to previous work where filter …
to classify vessel/non-vessel pixels. However, in contrast to previous work where filter …
Retinal blood vessel extraction employing effective image features and combination of supervised and unsupervised machine learning methods
M Hashemzadeh, BA Azar - Artificial intelligence in medicine, 2019 - Elsevier
In medicine, retinal vessel analysis of fundus images is a prominent task for the screening
and diagnosis of various ophthalmological and cardiovascular diseases. In this research, a …
and diagnosis of various ophthalmological and cardiovascular diseases. In this research, a …
[HTML][HTML] DA-Res2UNet: Explainable blood vessel segmentation from fundus images
R Liu, T Wang, X Zhang, X Zhou - Alexandria Engineering Journal, 2023 - Elsevier
Blood vessel segmentation in fundus images is necessary for the diagnosis of ophthalmic
diseases. In recent years, deep learning has achieved eminent performance in blood vessel …
diseases. In recent years, deep learning has achieved eminent performance in blood vessel …
A detailed systematic review on retinal image segmentation methods
NR Panda, AK Sahoo - Journal of Digital Imaging, 2022 - Springer
The separation of blood vessels in the retina is a major aspect in detecting ailment and is
carried out by segregating the retinal blood vessels from the fundus images. Moreover, it …
carried out by segregating the retinal blood vessels from the fundus images. Moreover, it …
彩色眼底图像视网膜血管分割方法研究进展
朱承璋， 邹北骥， 向遥， 严权峰， 梁毅雄， 崔锦恺… - 计算机辅助设计与图形学 …, 2015 - jcad.cn
视网膜血管分割方法是眼科计算机辅助诊断和大规模疾病筛查系统的基础, 文中讨论了基于彩色
眼底图像的视网膜血管分割方法研究进展. 概述了该领域的背景意义, 常用标准库 …
眼底图像的视网膜血管分割方法研究进展. 概述了该领域的背景意义, 常用标准库 …
Improved multi‐scale line detection method for retinal blood vessel segmentation
Changes of retinal blood vessel are precursors of many serious diseases such as diabetic
retinopathy, hypertension and cardiovascular diseases. Automatic segmentation of retinal …
retinopathy, hypertension and cardiovascular diseases. Automatic segmentation of retinal …
Hybrid features and mediods classification based robust segmentation of blood vessels
Retinal blood vessels are the source to provide oxygen and nutrition to retina and any
change in the normal structure may lead to different retinal abnormalities. Automated …
change in the normal structure may lead to different retinal abnormalities. Automated …