AIMC Topic: Retinal Vessels

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VascuConNet: an enhanced connectivity network for vascular segmentation.

Medical & biological engineering & computing Jun 20, 2024
Medical image segmentation commonly involves diverse tissue types and structures, including tasks such as blood vessel segmentation and nerve fiber bundle segmentation. Enhancing the continuity of segmentation outcomes represents a pivotal challenge ...
Image Processing, Computer-Assisted Retinal Vessels Humans Neural Networks, Computer Algorithms Databases, Factual
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A Microvascular Segmentation Network Based on Pyramidal Attention Mechanism.

Sensors (Basel, Switzerland) Jun 20, 2024
The precise segmentation of retinal vasculature is crucial for the early screening of various eye diseases, such as diabetic retinopathy and hypertensive retinopathy. Given the complex and variable overall structure of retinal vessels and their delic...
Humans Retinal Vessels Microvessels Algorithms Diabetic Retinopathy Neural Networks, Computer Image Processing, Computer-Assisted Retina
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Identification of diabetic retinopathy classification using machine learning algorithms on clinical data and optical coherence tomography angiography.

Eye (London, England) Jun 13, 2024
BACKGROUND: To apply machine learning (ML) algorithms to perform multiclass diabetic retinopathy (DR) classification using both clinical data and optical coherence tomography angiography (OCTA).
Aged Adult Cross-Sectional Studies Algorithms Female Tomography, Optical Coherence Fluorescein Angiography Retinal Vessels Male Middle Aged ROC Curve Humans Diabetic Retinopathy Machine Learning
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Use of an Artificial Intelligence-Generated Vascular Severity Score Improved Plus Disease Diagnosis in Retinopathy of Prematurity.

Ophthalmology Jun 10, 2024
PURPOSE: To evaluate whether providing clinicians with an artificial intelligence (AI)-based vascular severity score (VSS) improves consistency in the diagnosis of plus disease in retinopathy of prematurity (ROP).
Male Severity of Illness Index Retinopathy of Prematurity ROC Curve Female Retinal Vessels Infant, Premature Infant, Newborn Gestational Age Reproducibility of Results Humans Ophthalmoscopy Artificial Intelligence
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Partial class activation mapping guided graph convolution cascaded U-Net for retinal vessel segmentation.

Computers in biology and medicine Jun 9, 2024
Accurate segmentation of retinal vessels in fundus images is of great importance for the diagnosis of numerous ocular diseases. However, due to the complex characteristics of fundus images, such as various lesions, image noise and complex background,...
Image Processing, Computer-Assisted Image Interpretation, Computer-Assisted Retinal Vessels Humans Neural Networks, Computer Algorithms
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Artificial intelligence in therapeutic management of hyperlipidemic ocular pathology.

Experimental eye research Jun 3, 2024
Hyperlipidemia has many ocular manifestations, the most prevalent being retinal vascular occlusion. Hyperlipidemic lesions and occlusions to the vessels supplying the retina result in permanent blindness, necessitating prompt detection and treatment....
Humans Artificial Intelligence Tomography, Optical Coherence Retinal Vessels Retinal Vein Occlusion Retinal Artery Occlusion Hyperlipidemias Disease Management Fluorescein Angiography
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3DVascNet: An Automated Software for Segmentation and Quantification of Mouse Vascular Networks in 3D.

Arteriosclerosis, thrombosis, and vascular biology May 23, 2024
BACKGROUND: Analysis of vascular networks is an essential step to unravel the mechanisms regulating the physiological and pathological organization of blood vessels. So far, most of the analyses are performed using 2-dimensional projections of 3-dime...
Image Interpretation, Computer-Assisted Automation Retinal Vessels Software Mice Reproducibility of Results Mice, Inbred C57BL Animals Deep Learning Imaging, Three-Dimensional
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G2ViT: Graph Neural Network-Guided Vision Transformer Enhanced Network for retinal vessel and coronary angiograph segmentation.

Neural networks : the official journal of the International Neural Network Society May 3, 2024
Blood vessel segmentation is a crucial stage in extracting morphological characteristics of vessels for the clinical diagnosis of fundus and coronary artery disease. However, traditional convolutional neural networks (CNNs) are confined to learning l...
Deep Learning Image Processing, Computer-Assisted Coronary Angiography Retinal Vessels Humans Coronary Artery Disease Coronary Vessels Neural Networks, Computer Algorithms
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LUNet: deep learning for the segmentation of arterioles and venules in high resolution fundus images.

Physiological measurement May 3, 2024
This study aims to automate the segmentation of retinal arterioles and venules (A/V) from digital fundus images (DFI), as changes in the spatial distribution of retinal microvasculature are indicative of cardiovascular diseases, positioning the eyes ...
Image Processing, Computer-Assisted Fundus Oculi Retinal Vessels Arterioles Venules Humans Deep Learning
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Cross-patch feature interactive net with edge refinement for retinal vessel segmentation.

Computers in biology and medicine Apr 9, 2024
Retinal vessel segmentation based on deep learning is an important auxiliary method for assisting clinical doctors in diagnosing retinal diseases. However, existing methods often produce mis-segmentation when dealing with low contrast images and thin...
Deep Learning Humans Algorithms Image Processing, Computer-Assisted Retinal Vessels
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