AIMC Topic: Retina

Clear Filters Showing 241 to 250 of 454 articles

Deep learning classification of early normal-tension glaucoma and glaucoma suspects using Bruch's membrane opening-minimum rim width and RNFL.

Scientific reports Nov 4, 2020
We aimed to classify early normal-tension glaucoma (NTG) and glaucoma suspect (GS) using Bruch's membrane opening-minimum rim width (BMO-MRW), peripapillary retinal nerve fiber layer (RNFL), and the color classification of RNFL based on a deep-learni...
Male Middle Aged Deep Learning ROC Curve Humans Female Diagnostic Techniques, Ophthalmological Adult Glaucoma, Open-Angle Intraocular Pressure Bruch Membrane Low Tension Glaucoma Image Processing, Computer-Assisted Area Under Curve Tomography, Optical Coherence Retina
View on PubMed DOI

Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Deep Learning.

Translational vision science & technology Oct 13, 2020
PURPOSE: To use a deep learning model to develop a fully automated method (fully semantic network and graph search [FS-GS]) of retinal segmentation for optical coherence tomography (OCT) images from patients with Stargardt disease.
Retinal Pigment Epithelium Stargardt Disease Humans Deep Learning Tomography, Optical Coherence Retina
View on PubMed DOI

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...
Middle Aged Risk Assessment Deep Learning Body Mass Index Aged, 80 and over Adult Male Stroke Myocardial Infarction Retina Image Interpretation, Computer-Assisted Blood Pressure Glycated Hemoglobin Cholesterol Humans Retrospective Studies Female Risk Factors Aged Retinal Vessels Hypertensive Retinopathy Datasets as Topic Coronary Disease Photography
View on PubMed DOI

Modeling a population of retinal ganglion cells with restricted Boltzmann machines.

Scientific reports Oct 6, 2020
The retina is a complex circuit of the central nervous system whose aim is to encode visual stimuli prior the higher order processing performed in the visual cortex. Due to the importance of its role, modeling the retina to advance in interpreting it...
Algorithms Animals Mice Retina Retinal Ganglion Cells Photic Stimulation Neural Networks, Computer Machine Learning
View on PubMed DOI

THEIA™ development, and testing of artificial intelligence-based primary triage of diabetic retinopathy screening images in New Zealand.

Diabetic medicine : a journal of the British Diabetic Association Sep 27, 2020
AIM: To develop and evaluate an artificial intelligence triage system with high sensitivity for detecting referable diabetic retinopathy and maculopathy, while maintaining high specificity for non-referable disease, for clinical implementation within...
Humans Diabetic Retinopathy Artificial Intelligence Algorithms New Zealand Male Aged, 80 and over Retina Middle Aged Retrospective Studies Young Adult Implementation Science Image Processing, Computer-Assisted Adolescent Female Adult Child Diabetes Mellitus Aged Sensitivity and Specificity Mass Screening Triage
View on PubMed DOI

Deep learning can generate traditional retinal fundus photographs using ultra-widefield images via generative adversarial networks.

Computer methods and programs in biomedicine Sep 16, 2020
BACKGROUND AND OBJECTIVE: Retinal imaging has two major modalities, traditional fundus photography (TFP) and ultra-widefield fundus photography (UWFP). This study demonstrates the feasibility of a state-of-the-art deep learning-based domain transfer ...
Retina Diagnostic Techniques, Ophthalmological Photography Humans Deep Learning Fundus Oculi
View on PubMed DOI

Robotic Retinal Surgery Impacts on Scleral Forces: In Vivo Study.

Translational vision science & technology Sep 1, 2020
PURPOSE: This study aims to map force interaction between instrument and sclera of in vivo rabbits during retinal procedures, and verify if a robotic active force control could prevent unwanted increase of forces on the sclera.
Rabbits Retina Sclera Animals Robotics Microsurgery Robotic Surgical Procedures
View on PubMed DOI

Unbiased identification of novel subclinical imaging biomarkers using unsupervised deep learning.

Scientific reports Jul 31, 2020
Artificial intelligence has recently made a disruptive impact in medical imaging by successfully automatizing expert-level diagnostic tasks. However, replicating human-made decisions may inherently be biased by the fallible and dogmatic nature of hum...
Male Macular Degeneration Humans Deep Learning Biomarkers Tomography, Optical Coherence Female Retina
View on PubMed DOI

Lightweight Learning-Based Automatic Segmentation of Subretinal Blebs on Microscope-Integrated Optical Coherence Tomography Images.

American journal of ophthalmology Jul 21, 2020
PURPOSE: Subretinal injections of therapeutics are commonly used to treat ocular diseases. Accurate dosing of therapeutics at target locations is crucial but difficult to achieve using subretinal injections due to leakage, and there is no method avai...
Algorithms Injections, Intraocular Animals Swine Tomography, Optical Coherence Subretinal Fluid Deep Learning Retina Ringer's Lactate ROC Curve Models, Animal Imaging, Three-Dimensional
View on PubMed DOI

Comparison of smartphone-based retinal imaging systems for diabetic retinopathy detection using deep learning.

BMC bioinformatics Jul 6, 2020
BACKGROUND: Diabetic retinopathy (DR), the most common cause of vision loss, is caused by damage to the small blood vessels in the retina. If untreated, it may result in varying degrees of vision loss and even blindness. Since DR is a silent disease ...
Humans Retina Diabetic Retinopathy Deep Learning Smartphone
View on PubMed DOI
Popular Topics
Recent Journals