AIMC Topic: Retinal Vessels

Clear Filters Showing 21 to 30 of 215 articles

Dynamic Statistical Attention-based lightweight model for Retinal Vessel Segmentation: DyStA-RetNet.

Computers in biology and medicine Dec 28, 2024
BACKGROUND AND OBJECTIVE: Accurate extraction of retinal vascular components is vital in diagnosing and treating retinal diseases. Achieving precise segmentation of retinal blood vessels is challenging due to their complex structure and overlapping v...
Deep Learning Image Processing, Computer-Assisted Models, Statistical Retinal Vessels Humans Neural Networks, Computer
View on PubMed DOI

Estimation of foveal avascular zone area from a B-scan OCT image using machine learning algorithms.

PloS one Dec 16, 2024
PURPOSE: The objective of this study is to estimate the area of the Foveal Avascular Zone (FAZ) from B-scan OCT images using machine learning algorithms.
Male Female Retinal Vessels Middle Aged Aged Fovea Centralis Humans Tomography, Optical Coherence Adult Machine Learning Algorithms
View on PubMed DOI

CMFNet: a cross-dimensional modal fusion network for accurate vessel segmentation based on OCTA data.

Medical & biological engineering & computing Dec 13, 2024
Optical coherence tomography angiography (OCTA) is a novel non-invasive retinal vessel imaging technique that can display high-resolution 3D vessel structures. The quantitative analysis of retinal vessel morphology plays an important role in the auto...
Imaging, Three-Dimensional Image Processing, Computer-Assisted Tomography, Optical Coherence Angiography Humans Neural Networks, Computer Algorithms Retinal Vessels
View on PubMed DOI

DualStreamFoveaNet: A Dual Stream Fusion Architecture With Anatomical Awareness for Robust Fovea Localization.

IEEE journal of biomedical and health informatics Dec 5, 2024
Accurate fovea localization is essential for analyzing retinal diseases to prevent irreversible vision loss. While current deep learning-based methods outperform traditional ones, they still face challenges such as the lack of local anatomical landma...
Humans Image Interpretation, Computer-Assisted Retinal Diseases Retinal Vessels Fovea Centralis Algorithms Databases, Factual Deep Learning
View on PubMed DOI

Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model.

The British journal of ophthalmology Nov 22, 2024
BACKGROUND/AIMS: To design a deep learning (DL) model for the detection of glaucoma progression with a longitudinal series of macular optical coherence tomography angiography (OCTA) images.
Glaucoma, Open-Angle Optic Disk Retinal Ganglion Cells Visual Fields Macula Lutea Retinal Vessels Visual Field Tests Fluorescein Angiography ROC Curve Humans Follow-Up Studies Retrospective Studies Tomography, Optical Coherence Middle Aged Intraocular Pressure Disease Progression Male Deep Learning Female Aged
View on PubMed DOI

Artificial intelligence-based prediction of neurocardiovascular risk score from retinal swept-source optical coherence tomography-angiography.

Scientific reports Nov 7, 2024
The recent rise of artificial intelligence represents a revolutionary way of improving current medical practices, including cardiovascular (CV) assessment scores. Retinal vascular alterations may reflect systemic processes such as the presence of CV ...
Male Cardiovascular Diseases Middle Aged Tomography, Optical Coherence Retina Risk Assessment Deep Learning Female Risk Factors Aged Artificial Intelligence Machine Learning Algorithms Humans Retinal Vessels
View on PubMed DOI

GKE-TUNet: Geometry-Knowledge Embedded TransUNet Model for Retinal Vessel Segmentation Considering Anatomical Topology.

IEEE journal of biomedical and health informatics Nov 6, 2024
Automated retinal vessel segmentation is crucial for computer-aided clinical diagnosis and retinopathy screening. However, deep learning faces challenges in extracting complex intertwined structures and subtle small vessels from densely vascularized ...
Retinal Vessels Databases, Factual Deep Learning Image Processing, Computer-Assisted Humans Image Interpretation, Computer-Assisted Algorithms
View on PubMed DOI

Evaluating retinal blood vessels for predicting white matter hyperintensities in ischemic stroke: A deep learning approach.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Oct 10, 2024
OBJECTIVE: This study aims to investigate whether a deep learning approach incorporating retinal blood vessels can effectively identify ischemic stroke patients with a high burden of White Matter Hyperintensities (WMH) using Nuclear Magnetic Resonanc...
White Matter Retinal Vessels Leukoencephalopathies Predictive Value of Tests Ischemic Stroke Image Interpretation, Computer-Assisted Female Deep Learning Humans Middle Aged Reproducibility of Results Aged Magnetic Resonance Imaging Retrospective Studies Risk Assessment Risk Factors Cross-Sectional Studies Male
View on PubMed DOI

Analog Spiking U-Net integrating CBAM&ViT for medical image segmentation.

Neural networks : the official journal of the International Neural Network Society Sep 28, 2024
SNNs are gaining popularity in AI research as a low-power alternative in deep learning due to their sparse properties and biological interpretability. Using SNNs for dense prediction tasks is becoming an important research area. In this paper, we fir...
Image Processing, Computer-Assisted Neurons Retinal Vessels Neural Networks, Computer Algorithms Humans Deep Learning Diabetic Retinopathy
View on PubMed DOI

Retinal Vessel Segmentation by a Transformer-U-Net Hybrid Model With Dual-Path Decoder.

IEEE journal of biomedical and health informatics Sep 5, 2024
This paper introduces an effective and efficient framework for retinal vessel segmentation. First, we design a Transformer-CNN hybrid model in which a Transformer module is inserted inside the U-Net to capture long-range interactions. Second, we desi...
Image Processing, Computer-Assisted Neural Networks, Computer Humans Retinal Vessels Algorithms Image Interpretation, Computer-Assisted Deep Learning
View on PubMed DOI
Popular Topics
Recent Journals