AIMC Topic: Retinal Vessels
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Association between deep learning measured retinal vessel calibre and incident myocardial infarction in a retrospective cohort from the UK Biobank.
BMJ open
Mar 21, 2024
BACKGROUND: Cardiovascular disease is a leading cause of global death. Prospective population-based studies have found that changes in retinal microvasculature are associated with the development of coronary artery disease. Recently, artificial intel...
Systematic Review of Retinal Blood Vessels Segmentation Based on AI-driven Technique.
Journal of imaging informatics in medicine
Mar 4, 2024
Image segmentation is a crucial task in computer vision and image processing, with numerous segmentation algorithms being found in the literature. It has important applications in scene understanding, medical image analysis, robotic perception, video...
Deep Learning based Retinal Vessel Caliber Measurement and the Association with Hypertension.
Current eye research
Feb 26, 2024
PURPOSE: To develop a highly efficient and fully automated method that measures retinal vessel caliber using digital retinal photographs and evaluate the association between retinal vessel caliber and hypertension.
A cognitive deep learning approach for medical image processing.
Scientific reports
Feb 24, 2024
In ophthalmic diagnostics, achieving precise segmentation of retinal blood vessels is a critical yet challenging task, primarily due to the complex nature of retinal images. The intricacies of these images often hinder the accuracy and efficiency of ...
Retinal imaging and Alzheimer's disease: a future powered by Artificial Intelligence.
Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie
Feb 15, 2024
Alzheimer's disease (AD) is a neurodegenerative condition that primarily affects brain tissue. Because the retina and brain share the same embryonic origin, visual deficits have been reported in AD patients. Artificial Intelligence (AI) has recently ...
High-precision retinal blood vessel segmentation based on a multi-stage and dual-channel deep learning network.
Physics in medicine and biology
Feb 5, 2024
The high-precision segmentation of retinal vessels in fundus images is important for the early diagnosis of ophthalmic diseases. However, the extraction for microvessels is challenging due to their characteristics of low contrast and high structural ...
Artificial Intelligence-based quantitative evaluation of retinal vascular parameters in thyroid-associated ophthalmopathy.
Endocrine
Feb 3, 2024
PURPOSE: Thyroid-associated ophthalmopathy (TAO) may result in increased metabolism and abnormalities in microcirculation. The fractal dimension (Df) of retinal vessels has been shown to be related to the pathology of a number of ophthalmic disorders...
CoVi-Net: A hybrid convolutional and vision transformer neural network for retinal vessel segmentation.
Computers in biology and medicine
Jan 29, 2024
Retinal vessel segmentation plays a crucial role in the diagnosis and treatment of ocular pathologies. Current methods have limitations in feature fusion and face challenges in simultaneously capturing global and local features from fundus images. To...
Using Deep Learning to Segment Retinal Vascular Leakage and Occlusion in Retinal Vasculitis.
Ocular immunology and inflammation
Jan 23, 2024
PURPOSE: Retinal vasculitis (RV) is characterised by retinal vascular leakage, occlusion or both on fluorescein angiography (FA). There is no standard scheme available to segment RV features. We aimed to develop a deep learning model to segment both ...
Ocular biomarkers of cognitive decline based on deep-learning retinal vessel segmentation.
BMC geriatrics
Jan 6, 2024
BACKGROUND: The current literature shows a strong relationship between retinal neuronal and vascular alterations in dementia. The purpose of the study was to use NFN+ deep learning models to analyze retinal vessel characteristics for cognitive impair...
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