AIMC Topic: Retinal Vessels

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A deep convolutional neural network-based novel class balancing for imbalance data segmentation.

Scientific reports Jul 1, 2025
Retinal fundus images provide valuable insights into the human eye's interior structure and crucial features, such as blood vessels, optic disk, macula, and fovea. However, accurate segmentation of retinal blood vessels can be challenging due to imba...
Fundus Oculi Retinal Vessels Deep Learning Convolutional Neural Networks Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms
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Research on the correlation between retinal vascular parameters and axial length in children using an AI-based fundus image analysis system.

PloS one Jun 17, 2025
OBJECTIVE: This study aims to utilize artificial intelligence technology to conduct an in-depth analysis of fundus data from myopic children and adolescents, thoroughly exploring the correlation between retinal vascular parameters and axial length (A...
Retinal Vessels Axial Length, Eye Child Image Processing, Computer-Assisted Fundus Oculi Humans Artificial Intelligence Male Myopia Female Adolescent
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Deep learning segmentation of periarterial and perivenous capillary-free zones in optical coherence tomography angiography.

Journal of biomedical optics May 8, 2025
SIGNIFICANCE: Automated segmentation of periarterial and perivenous capillary-free zones (CFZs) in optical coherence tomography angiography (OCTA) can significantly improve early detection and monitoring of diabetic retinopathy (DR), a leading cause ...
Humans Diabetic Retinopathy Neural Networks, Computer Female Male Capillaries Tomography, Optical Coherence Image Interpretation, Computer-Assisted Retinal Vessels Middle Aged Deep Learning Image Processing, Computer-Assisted
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Latent space autoencoder generative adversarial model for retinal image synthesis and vessel segmentation.

BMC medical imaging May 5, 2025
Diabetes is a widespread condition that can lead to serious vision problems over time. Timely identification and treatment of diabetic retinopathy (DR) depend on accurately segmenting retinal vessels, which can be achieved through the invasive techni...
Humans Image Interpretation, Computer-Assisted Diabetic Retinopathy Autoencoder Neural Networks, Computer Retinal Vessels Image Processing, Computer-Assisted Algorithms Deep Learning Fundus Oculi
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Delving into transfer learning within U-Net for refined retinal vessel segmentation: An extensive hyperparameter analysis.

Photodiagnosis and photodynamic therapy May 3, 2025
Blood vessel segmentation poses numerous challenges. Firstly, blood vessels often lack sufficient contrast against the background, impeding accurate differentiation. Additionally, the overlapping nature of blood vessels complicates separating individ...
Humans Deep Learning Image Processing, Computer-Assisted Retinal Vessels Neural Networks, Computer Machine Learning Algorithms
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Sharper insights: Adaptive ellipse-template for robust fovea localization in challenging retinal landscapes.

Computers in biology and medicine Apr 20, 2025
Automated identification of retinal landmarks, particularly the fovea is crucial for diagnosing diabetic retinopathy and other ocular diseases. But accurate identification is challenging due to varying contrast, color irregularities, anatomical struc...
Optic Disk Retinal Vessels Fovea Centralis Algorithms Databases, Factual Image Processing, Computer-Assisted Humans Diabetic Retinopathy
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Robust semi-automatic vessel tracing in the human retinal image by an instance segmentation neural network.

Science advances Apr 4, 2025
Vasculature morphology and hierarchy are essential for blood perfusion. Human retinal circulation is an intricate vascular system emerging and remerging at the optic nerve head (ONH). Tracing retinal vascular branching from ONH can allow detailed mor...
Retina Algorithms Optic Disk Humans Retinal Vessels Image Processing, Computer-Assisted Neural Networks, Computer Fundus Oculi
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Unpaired Optical Coherence Tomography Angiography Image Super-Resolution via Frequency-Aware Inverse-Consistency GAN.

IEEE journal of biomedical and health informatics Apr 4, 2025
For optical coherence tomography angiography (OCTA) images, the limited scanning rate leads to a trade-off between field-of-view (FOV) and imaging resolution. Although larger FOV images may reveal more parafoveal vascular lesions, their application i...
Retinal Vessels Image Processing, Computer-Assisted Tomography, Optical Coherence Humans Angiography Neural Networks, Computer Algorithms
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Deep learning assisted retinal microvasculature assessment and cerebral small vessel disease in Fabry disease.

Orphanet journal of rare diseases Apr 3, 2025
PURPOSE: The aim of this study was to assess retinal microvascular parameters (RMPs) in Fabry disease (FD) using deep learning, and analyze the correlation with brain lesions related to cerebral small vessel disease (CSVD).
Middle Aged Case-Control Studies Deep Learning Microvessels Humans Fabry Disease Magnetic Resonance Imaging Adult Retrospective Studies Female Retinal Vessels Male Cerebral Small Vessel Diseases
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Microscope-Assisted Hypertensive Retinopathy Diagnosis Using Deep Learning Models.

Microscopy research and technique Mar 24, 2025
The retina is the most crucial part of the human eye, and it can be affected due to hypertension. However, retinal abnormalities due to hypertension are termed hypertensive retinopathy (HR). A severe stage of HR can lead to complete blindness if not ...
Humans Microscopy Retinal Vessels Hypertensive Retinopathy Deep Learning Image Processing, Computer-Assisted Retina
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