AIMC Topic: Retinal Vessels

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Ultra-wide field and new wide field composite retinal image registration with AI-enabled pipeline and 3D distortion correction algorithm.

Eye (London, England) Dec 19, 2023
PURPOSE: This study aimed to compare a new Artificial Intelligence (AI) method to conventional mathematical warping in accurately overlaying peripheral retinal vessels from two different imaging devices: confocal scanning laser ophthalmoscope (cSLO) ...
Retinal Vessels Neural Networks, Computer Artificial Intelligence Algorithms Retina Humans
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Explainable artificial intelligence for the automated assessment of the retinal vascular tortuosity.

Medical & biological engineering & computing Dec 7, 2023
Retinal vascular tortuosity is an excessive bending and twisting of the blood vessels in the retina that is associated with numerous health conditions. We propose a novel methodology for the automated assessment of the retinal vascular tortuosity fro...
Artificial Intelligence Algorithms Humans Retinal Diseases Retinal Vessels Fundus Oculi Retina
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Automated segmentation of ultra-widefield fluorescein angiography of diabetic retinopathy using deep learning.

The British journal of ophthalmology Nov 22, 2023
BACKGROUND/AIMS: Retinal capillary non-perfusion (NP) and neovascularisation (NV) are two of the most important angiographic changes in diabetic retinopathy (DR). This study investigated the feasibility of using deep learning (DL) models to automatic...
Retrospective Studies Cross-Sectional Studies Diabetic Retinopathy Tomography, Optical Coherence Neovascularization, Pathologic Deep Learning Diabetes Mellitus Humans Retinal Vessels Fluorescein Angiography
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Deep-learning segmentation method for optical coherence tomography angiography in ophthalmology.

Journal of biophotonics Oct 17, 2023
PURPOSE: The optic disc and the macular are two major anatomical structures in the human eye. Optic discs are associated with the optic nerve. Macular mainly involves degeneration and impaired function of the macular region. Reliable optic disc and m...
Ophthalmology Fluorescein Angiography Retinal Vessels Deep Learning Tomography, Optical Coherence Humans
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SCANet: A Unified Semi-Supervised Learning Framework for Vessel Segmentation.

IEEE transactions on medical imaging Aug 31, 2023
Automatic subcutaneous vessel imaging with near-infrared (NIR) optical apparatus can promote the accuracy of locating blood vessels, thus significantly contributing to clinical venipuncture research. Though deep learning models have achieved remarkab...
Neural Networks, Computer Image Processing, Computer-Assisted Supervised Machine Learning Retinal Vessels
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SegR-Net: A deep learning framework with multi-scale feature fusion for robust retinal vessel segmentation.

Computers in biology and medicine Jun 10, 2023
Retinal vessel segmentation is an important task in medical image analysis and has a variety of applications in the diagnosis and treatment of retinal diseases. In this paper, we propose SegR-Net, a deep learning framework for robust retinal vessel s...
Image Processing, Computer-Assisted Fundus Oculi Retinal Vessels Algorithms Deep Learning
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Retinal vessel segmentation via a Multi-resolution Contextual Network and adversarial learning.

Neural networks : the official journal of the International Neural Network Society Jun 2, 2023
Timely and affordable computer-aided diagnosis of retinal diseases is pivotal in precluding blindness. Accurate retinal vessel segmentation plays an important role in disease progression and diagnosis of such vision-threatening diseases. To this end,...
Neural Networks, Computer Image Processing, Computer-Assisted Algorithms Retinal Vessels Deep Learning
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Comparing Common Retinal Vessel Caliber Measurement Software with an Automatic Deep Learning System.

Current eye research May 29, 2023
PURPOSE: To compare the Retina-based Microvascular Health Assessment System (RMHAS) with Integrative Vessel Analysis (IVAN) for retinal vessel caliber measurement.
Humans Retinal Vessels Cohort Studies Retina Software Deep Learning
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BCU-Net: Bridging ConvNeXt and U-Net for medical image segmentation.

Computers in biology and medicine Apr 20, 2023
Medical image segmentation enables doctors to observe lesion regions better and make accurate diagnostic decisions. Single-branch models such as U-Net have achieved great progress in this field. However, the complementary local and global pathologica...
Retinal Vessels Neural Networks, Computer Image Processing, Computer-Assisted Semantics
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TUnet-LBF: Retinal fundus image fine segmentation model based on transformer Unet network and LBF.

Computers in biology and medicine Apr 17, 2023
Segmentation of retinal fundus images is a crucial part of medical diagnosis. Automatic extraction of blood vessels in low-quality retinal images remains a challenging problem. In this paper, we propose a novel two-stage model combining Transformer U...
Retinal Vessels Fundus Oculi Algorithms Neural Networks, Computer Image Processing, Computer-Assisted
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