AIMC Topic: Retinal Vessels

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Retinal vascular junction detection and classification via deep neural networks.

Computer methods and programs in biomedicine Sep 27, 2019
BACKGROUND AND OBJECTIVES: The retinal fundus contains intricate vascular trees, some of which are mutually intersected and overlapped. The intersection and overlapping of retinal vessels represent vascular junctions (i.e. bifurcation and crossover) ...
Image Processing, Computer-Assisted Color Databases, Factual Fundus Oculi Reproducibility of Results Diagnosis, Computer-Assisted Retina Humans Anisotropy Neural Networks, Computer Retinal Vessels Algorithms
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Evolutionary Compression of Deep Neural Networks for Biomedical Image Segmentation.

IEEE transactions on neural networks and learning systems Sep 13, 2019
Biomedical image segmentation is lately dominated by deep neural networks (DNNs) due to their surpassing expert-level performance. However, the existing DNN models for biomedical image segmentation are generally highly parameterized, which severely i...
Image Processing, Computer-Assisted Neurons Data Compression Retinal Vessels Humans Neural Networks, Computer Tomography, X-Ray Computed
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Deep vessel segmentation by learning graphical connectivity.

Medical image analysis Sep 6, 2019
We propose a novel deep learning based system for vessel segmentation. Existing methods using CNNs have mostly relied on local appearances learned on the regular image grid, without consideration of the graphical structure of vessel shape. Effective ...
Coronary Vessels Humans Angiography Neural Networks, Computer Retinal Vessels Image Processing, Computer-Assisted
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Convolutional Neural Networks for Spectroscopic Analysis in Retinal Oximetry.

Scientific reports Aug 6, 2019
Retinal oximetry is a non-invasive technique to investigate the hemodynamics, vasculature and health of the eye. Current techniques for retinal oximetry have been plagued by quantitatively inconsistent measurements and this has greatly limited their ...
Glaucoma Machine Learning Oxygen Humans Neural Networks, Computer Retinal Diseases Oximetry Retinal Vessels Retina Datasets as Topic Spectrum Analysis
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Multi-proportion channel ensemble model for retinal vessel segmentation.

Computers in biology and medicine Jul 9, 2019
OBJECTIVE: A novel supervised method that is based on the Multi-Proportion Channel Ensemble Model (MPC-EM) is proposed to obtain more vessel details with reduced computational complexity.
Retinal Vessels Deep Learning Fundus Oculi Image Interpretation, Computer-Assisted Algorithms Databases, Factual Humans
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A deep learning based pipeline for optical coherence tomography angiography.

Journal of biophotonics Jul 1, 2019
Optical coherence tomography angiography (OCTA) is a relatively new imaging modality that generates microvasculature map. Meanwhile, deep learning has been recently attracting considerable attention in image-to-image translation, such as image denois...
Retinal Vessels Image Processing, Computer-Assisted Rats Rats, Sprague-Dawley Tomography, Optical Coherence Signal-To-Noise Ratio Angiography Animals Deep Learning
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Scale-space approximated convolutional neural networks for retinal vessel segmentation.

Computer methods and programs in biomedicine Jun 29, 2019
BACKGROUND AND OBJECTIVE: Retinal fundus images are widely used to diagnose retinal diseases and can potentially be used for early diagnosis and prevention of chronic vascular diseases and diabetes. While various automatic retinal vessel segmentation...
Retinal Diseases ROC Curve Humans Neural Networks, Computer Signal Processing, Computer-Assisted Algorithms Normal Distribution Deep Learning Fundus Oculi Retinal Vessels False Positive Reactions Image Processing, Computer-Assisted Area Under Curve
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Running pattern of choroidal vessel in en face OCT images determined by machine learning-based quantitative method.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Jun 24, 2019
PURPOSE: To evaluate the new method to quantitate the running pattern of the vessels in Haller's layer in en face optical coherence tomographic (OCT) images using the new algorithm.
Humans Machine Learning Algorithms Imaging, Three-Dimensional Choroid Adult Tomography, Optical Coherence Cross-Sectional Studies Retrospective Studies Male Retinal Vessels Female Reproducibility of Results
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Artery-vein segmentation in fundus images using a fully convolutional network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Jun 15, 2019
Epidemiological studies demonstrate that dimensions of retinal vessels change with ocular diseases, coronary heart disease and stroke. Different metrics have been described to quantify these changes in fundus images, with arteriolar and venular calib...
Retinal Vessels Retinal Artery Retinal Vein Fundus Oculi Datasets as Topic Photography Humans Deep Learning Benchmarking
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Automated OCT angiography image quality assessment using a deep learning algorithm.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie May 22, 2019
PURPOSE: To expedite and to standardize the process of image quality assessment in optical coherence tomography angiography (OCTA) using a specialized deep learning algorithm (DLA).
Tomography, Optical Coherence Retrospective Studies Humans Fluorescein Angiography Fundus Oculi Reproducibility of Results Neural Networks, Computer Retinal Vessels Artifacts Deep Learning Algorithms
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