AIMC Topic: Retinal Vessels

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Evaluation of a Deep Learning-Derived Quantitative Retinopathy of Prematurity Severity Scale.

Ophthalmology Oct 27, 2020
PURPOSE: To evaluate the clinical usefulness of a quantitative deep learning-derived vascular severity score for retinopathy of prematurity (ROP) by assessing its correlation with clinical ROP diagnosis and by measuring clinician agreement in applyin...
Humans Algorithms Retrospective Studies Follow-Up Studies Gestational Age Ophthalmoscopy Retinopathy of Prematurity Infant, Newborn Severity of Illness Index Deep Learning Retinal Vessels
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A deep-learning system for the assessment of cardiovascular disease risk via the measurement of retinal-vessel calibre.

Nature biomedical engineering Oct 12, 2020
Retinal blood vessels provide information on the risk of cardiovascular disease (CVD). Here, we report the development and validation of deep-learning models for the automated measurement of retinal-vessel calibre in retinal photographs, using divers...
Cholesterol Stroke Aged, 80 and over Myocardial Infarction Coronary Disease Adult Female Photography Male Body Mass Index Retinal Vessels Risk Factors Middle Aged Blood Pressure Hypertensive Retinopathy Aged Risk Assessment Glycated Hemoglobin Humans Retina Deep Learning Image Interpretation, Computer-Assisted Retrospective Studies Datasets as Topic
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VSSC Net: Vessel Specific Skip chain Convolutional Network for blood vessel segmentation.

Computer methods and programs in biomedicine Sep 28, 2020
BACKGROUND AND OBJECTIVE: Deep learning techniques are instrumental in developing network models that aid in the early diagnosis of life-threatening diseases. To screen and diagnose the retinal fundus and coronary blood vessel disorders, the most imp...
Coronary Angiography Fundus Oculi Retinal Vessels Neural Networks, Computer
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From Local to Global: A Graph Framework for Retinal Artery/Vein Classification.

IEEE transactions on nanobioscience Jun 23, 2020
Fundus photography has been widely used for inspecting eye disorders by ophthalmologists or computer algorithms. Biomarkers related to retinal vessels plays an essential role to detect early diabetes. To quantify vascular biomarkers or the correspond...
Fluorescein Angiography Retinal Vessels Middle Aged ROC Curve Image Processing, Computer-Assisted Female Aged Male Humans Diabetic Retinopathy Neural Networks, Computer
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A Neural Network Approach to Quantify Blood Flow from Retinal OCT Intensity Time-Series Measurements.

Scientific reports Jun 15, 2020
Many diseases of the eye are associated with alterations in the retinal vasculature that are possibly preceded by undetected changes in blood flow. In this work, a robust blood flow quantification framework is presented based on optical coherence tom...
Humans Neural Networks, Computer Deep Learning Time Factors Retinal Vessels Tomography, Optical Coherence Retina Blood Flow Velocity
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An innovative method for screening and evaluating the degree of diabetic retinopathy and drug treatment based on artificial intelligence algorithms.

Pharmacological research Jun 2, 2020
Current methods of evaluating the degree of diabetic retinopathy are highly subjective and have no quantitative standard. To objectively evaluate the slight changes in tissue structure during the early stage of retinal diseases, a subjective interpre...
Image Interpretation, Computer-Assisted Early Diagnosis Retinal Ganglion Cells Pattern Recognition, Automated Retinal Vessels Diabetes Mellitus, Experimental Retina Microscopy Male Hypoglycemic Agents Severity of Illness Index Predictive Value of Tests Deep Learning Diabetic Retinopathy Drugs, Chinese Herbal Rats, Wistar Animals Diabetes Mellitus, Type 1 Diabetes Mellitus, Type 2 Mice
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A size-invariant convolutional network with dense connectivity applied to retinal vessel segmentation measured by a unique index.

Computer methods and programs in biomedicine May 31, 2020
BACKGROUND AND OBJECTIVES: Retinal vessel segmentation (RVS) helps in diagnosing diseases such as hypertension, cardiovascular diseases, and others. Convolutional neural networks are widely used in RVS tasks. However, how to comprehensively evaluate ...
Retinal Vessels Neural Networks, Computer Databases, Factual Image Processing, Computer-Assisted
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Ensemble Deep Learning for Diabetic Retinopathy Detection Using Optical Coherence Tomography Angiography.

Translational vision science & technology Apr 13, 2020
PURPOSE: To evaluate the role of ensemble learning techniques with deep learning in classifying diabetic retinopathy (DR) in optical coherence tomography angiography (OCTA) images and their corresponding co-registered structural images.
Tomography, Optical Coherence Fluorescein Angiography Retinal Vessels Diabetic Retinopathy Deep Learning Diabetes Mellitus Humans
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A Deep-Learning Approach for Automated OCT En-Face Retinal Vessel Segmentation in Cases of Optic Disc Swelling Using Multiple En-Face Images as Input.

Translational vision science & technology Mar 24, 2020
PURPOSE: In cases of optic disc swelling, segmentation of projected retinal blood vessels from optical coherence tomography (OCT) volumes is challenging due to swelling-based shadowing artifacts. Based on our hypothesis that simultaneously considerin...
Deep Learning Humans Retinal Vessels Tomography, Optical Coherence Papilledema Optic Disk
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A supervised blood vessel segmentation technique for digital Fundus images using Zernike Moment based features.

PloS one Mar 6, 2020
This paper proposes a new supervised method for blood vessel segmentation using Zernike moment-based shape descriptors. The method implements a pixel wise classification by computing a 11-D feature vector comprising of both statistical (gray-level) f...
Supervised Machine Learning Retinal Vessels Humans Image Processing, Computer-Assisted Fundus Oculi
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