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Multi-scale Bottleneck Residual Network for Retinal Vessel Segmentation
Precise segmentation of retinal vessels is crucial for the prevention and diagnosis of ophthalmic diseases. In recent years, deep learning has shown...
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Ocular biomarkers of cognitive decline based on deep-learning retinal vessel segmentation
BackgroundThe current literature shows a strong relationship between retinal neuronal and vascular alterations in dementia. The purpose of the study...
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Scale-aware dense residual retinal vessel segmentation network with multi-output weighted loss
BackgroundRetinal vessel segmentation provides an important basis for determining the geometric characteristics of retinal vessels and the diagnosis...
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Patient-specific placental vessel segmentation with limited data
A major obstacle in applying machine learning for medical fields is the disparity between the data distribution of the training images and the data...
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Hepatic vessel segmentation based on 3D swin-transformer with inductive biased multi-head self-attention
PurposeSegmentation of liver vessels from CT images is indispensable prior to surgical planning and aroused a broad range of interest in the medical...
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Systematic Review of Retinal Blood Vessels Segmentation Based on AI-driven Technique
Image segmentation is a crucial task in computer vision and image processing, with numerous segmentation algorithms being found in the literature. It...
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A Detailed Systematic Review on Retinal Image Segmentation Methods
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...
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VESCL: an open source 2D vessel contouring library
PurposeVESCL (pronounced ‘vessel’) is a novel vessel contouring library for computer-assisted 2D vessel contouring and segmentation. VESCL...
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Deep learning-enabled ultra-widefield retinal vessel segmentation with an automated quality-optimized angiographic phase selection tool
ObjectivesTo demonstrate the feasibility of a deep learning-based vascular segmentation tool for UWFA and evaluate its ability to automatically...
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Contrast Enhancement of RGB Retinal Fundus Images for Improved Segmentation of Blood Vessels Using Convolutional Neural Networks
Retinal fundus images are non-invasively acquired and faced with low contrast, noise, and uneven illumination. The low-contrast problem makes objects...
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Retinal vessel density and choroidal flow changes in oligoarticular juvenile idiopathic arthritis with and without uveitis
PurposeThis cross-sectional optical coherence tomography angiography (OCTA) study aimed to assess the macular and optic nerve head (ONH) vascular...
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Oxidative stress and optical coherence tomography angiography evaluation of choriocapillaris and retinal vessel density in children with obstructive sleep apnea
ObjectivesTo investigate the vascular networks of the retina and choroid using optical coherence tomography angiography (OCTA) to identify early...
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Axial length, more than aging, decreases the thickness and superficial vessel density of retinal nerve fiber layer in non-glaucomatous eyes
PurposeThis study seeks to build a normative database for the vessel density of the superficial retina (SVD) and evaluate how changes and trends in...
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Lightweight pyramid network with spatial attention mechanism for accurate retinal vessel segmentation
PurposeThe morphological characteristics of retinal vessels are vital for the early diagnosis of pathological diseases such as diabetes and...
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Changes in retinal vessel and retinal layer thickness after cross-linking in keratoconus via swept-source OCT angiography
PurposeTo analyze the postoperative foveal avascular zone (FAZ) area, superficial capillary plexus (SCP), deep capillary plexus (DCP) vascular...
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Associations of retinal neurovascular dysfunction with inner retinal layer thickness in non-proliferative diabetic retinopathy
PurposeNeurovascular coupling impairment and inner retinal layer thinning are early detectable retinal changes in diabetes, and both worsen during...
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Self-relabeling for noise-tolerant retina vessel segmentation through label reliability estimation
BackgroundRetinal vessel segmentation benefits significantly from deep learning. Its performance relies on sufficient training images with accurate...
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Assessment of peripapillary retinal nerve fiber layer thickness and vessel density in newly diagnosed SLE patients without ocular symptoms
PurposeThis study aims to assess peripapillary retinal nerve fiber layer thickness (pRNFLT) and peripapillary vessel density (PVD) in patients with...
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Retinal capillary perfusion heterogeneity in diabetic retinopathy detected by optical coherence tomography angiography
BackgroundDiabetic retinopathy (DR) is a leading cause of blindness and involves retinal capillary damage, microaneurysms, and altered blood flow...
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Retinal vessel tortuosity as a prognostic marker for disease severity in Fabry disease
PurposeThe aim of this case control study was to evaluate the prognostic value of automatically quantified retinal vessel tortuosity from fundus...
