AIMC Topic: Intraocular Pressure
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Accurate Identification of the Trabecular Meshwork under Gonioscopic View in Real Time Using Deep Learning.
Ophthalmology. Glaucoma
Nov 16, 2021
PURPOSE: Accurate identification of iridocorneal structures on gonioscopy is difficult to master, and errors can lead to grave surgical complications. This study aimed to develop and train convolutional neural networks (CNNs) to accurately identify t...
Open-source deep learning-based automatic segmentation of mouse Schlemm's canal in optical coherence tomography images.
Experimental eye research
Nov 16, 2021
The purpose of this study was to develop an automatic deep learning-based approach and corresponding free, open-source software to perform segmentation of the Schlemm's canal (SC) lumen in optical coherence tomography (OCT) scans of living mouse eyes...
Deep Learning Image Analysis of Optical Coherence Tomography Angiography Measured Vessel Density Improves Classification of Healthy and Glaucoma Eyes.
American journal of ophthalmology
Nov 13, 2021
PURPOSE: To compare convolutional neural network (CNN) analysis of en face vessel density images to gradient boosting classifier (GBC) analysis of instrument-provided, feature-based optical coherence tomography angiography (OCTA) vessel density measu...
Generalisability and performance of an OCT-based deep learning classifier for community-based and hospital-based detection of gonioscopic angle closure.
The British journal of ophthalmology
Oct 20, 2021
PURPOSE: To assess the generalisability and performance of a deep learning classifier for automated detection of gonioscopic angle closure in anterior segment optical coherence tomography (AS-OCT) images.
Anterior segment biometric measurements explain misclassifications by a deep learning classifier for detecting gonioscopic angle closure.
The British journal of ophthalmology
Oct 6, 2021
BACKGROUND/AIMS: To identify biometric parameters that explain misclassifications by a deep learning classifier for detecting gonioscopic angle closure in anterior segment optical coherence tomography (AS-OCT) images.
Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy.
Ophthalmology
Jul 30, 2021
PURPOSE: To develop and validate a multimodal artificial intelligence algorithm, FusionNet, using the pattern deviation probability plots from visual field (VF) reports and circular peripapillary OCT scans to detect glaucomatous optic neuropathy (GON...
Tomography, Optical Coherence
Nerve Fibers
Retinal Ganglion Cells
Visual Fields
Visual Field Tests
Optic Nerve Diseases
Glaucoma, Open-Angle
ROC Curve
Vision Disorders
Multimodal Imaging
Area Under Curve
Intraocular Pressure
Male
Middle Aged
Humans
Machine Learning
Algorithms
Female
Aged
Adult
Cross-Sectional Studies
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression.
IEEE transactions on bio-medical engineering
Jun 17, 2021
OBJECTIVE: Glaucoma is the second leading cause of blindness worldwide. Glaucomatous progression can be easily monitored by analyzing the degeneration of retinal ganglion cells (RGCs). Many researchers have screened glaucoma by measuring cup-to-disc ...
Automated AI labeling of optic nerve head enables insights into cross-ancestry glaucoma risk and genetic discovery in >280,000 images from UKB and CLSA.
American journal of human genetics
Jun 1, 2021
Cupping of the optic nerve head, a highly heritable trait, is a hallmark of glaucomatous optic neuropathy. Two key parameters are vertical cup-to-disc ratio (VCDR) and vertical disc diameter (VDD). However, manual assessment often suffers from poor a...
Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics Based on Thickness Maps from Macula OCT.
Ophthalmology
Apr 23, 2021
PURPOSE: To develop deep learning (DL) systems estimating visual function from macula-centered spectral-domain (SD) OCT images.
Towards 'automated gonioscopy': a deep learning algorithm for 360° angle assessment by swept-source optical coherence tomography.
The British journal of ophthalmology
Apr 12, 2021
AIMS: To validate a deep learning (DL) algorithm (DLA) for 360° angle assessment on swept-source optical coherence tomography (SS-OCT) (CASIA SS-1000, Tomey Corporation, Nagoya, Japan).
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