Results 11 to 20 of about 141,412 (299)
Retinal Vessels Segmentation Techniques and Algorithms: A Survey
Applied Sciences, 2018 Retinal vessels identification and localization aim to separate the different retinal vasculature structure tissues, either wide or narrow ones, from the fundus image background and other retinal anatomical structures such as optic disc, macula, and ...
Jasem Almotiri +2 more
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Retinal blood vessel analysis using optical coherence tomography in multiple sclerosis
Veins and Lymphatics, 2022 Background: Both greater retinal neurodegenerative pathology and greater cardiovascular burden have been seen in persons with multiple sclerosis (pwMS).1,2 Moreover, studies have described multiple extracranial and intracranial vasculature changes in ...
Nicholas Young +5 more
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IEEE Access, 2020 Retinal blood vessel segmentation plays an important part in the early diagnosis and treatment of eye disease. It is a tool for ophthalmologists. Many diseases can be identified by examining manifestations and images of blood vessels, including diabetic ...
Alice Krestanova +2 more
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Automated Fovea Detection Based on Unsupervised Retinal Vessel Segmentation Method [PDF]
, 2017 The Computer Assisted Diagnosis systems could save workloads and give objective diagnostic to ophthalmologists. At first level of automated screening of systems feature extraction is the fundamental step. One of these retinal features is the fovea.
Kalantari, Faraz +3 more
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IEEE Access, 2022 Recent advancements in deep learning architectures have extended their application to computer vision tasks, one of which is the segmentation of retinal blood vessels from retinal fundus images.
Olubunmi Omobola Sule
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Retinal blood vessels extraction using probabilistic modelling [PDF]
, 2014 © 2014 Kaba et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and ...
A Hoover +22 more
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Attention Guided U-Net With Atrous Convolution for Accurate Retinal Vessels Segmentation
IEEE Access, 2020 The accuracy of retinal vessels segmentation is of great significance for the diagnosis of cardiovascular diseases such as diabetes and hypertension. Especially, the segmentation accuracy of the end of vessels will be affected by the area outside the ...
Yan Lv +3 more
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HDC-Net: A hierarchical dilation convolutional network for retinal vessel segmentation.
PLoS ONE, 2021 The cardinal symptoms of some ophthalmic diseases observed through exceptional retinal blood vessels, such as retinal vein occlusion, diabetic retinopathy, etc.
Xiaolong Hu +3 more
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Multimodal In Vivo Imaging of Retinal and Choroidal Vascular Occlusion
Photonics, 2022 Photoacoustic microscopy (PAM) is an emerging retinal imaging technique that can provide high spatial resolution and high contrast of chorioretinal vessels.
Van Phuc Nguyen +5 more
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Automated measurements of retinal bifurcations [PDF]
, 2009 This paper presents an analysis of the bifurcations of retinal vessels. The angles and relative diameters of blood vessels in 230 bifurcations were measured using a new automated procedure, and used to calculate the values of several features with known ...
Al-Diri, Bashir, Hunter, Andrew
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