AIMC Topic: Glaucoma, Angle-Closure

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Reproducibility of deep learning based scleral spur localisation and anterior chamber angle measurements from anterior segment optical coherence tomography images.

The British journal of ophthalmology Jan 28, 2022
AIMS: To apply a deep learning model for automatic localisation of the scleral spur (SS) in anterior segment optical coherence tomography (AS-OCT) images and compare the reproducibility of anterior chamber angle (ACA) width between deep learning loca...
Aged Cross-Sectional Studies Intraocular Pressure Middle Aged Humans Reproducibility of Results Glaucoma, Angle-Closure Gonioscopy Sclera Anterior Chamber Deep Learning Tomography, Optical Coherence Iris Anterior Eye Segment
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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.
Deep Learning Gonioscopy Tomography, Optical Coherence Humans Anterior Eye Segment Intraocular Pressure Glaucoma, Angle-Closure Hospitals
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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.
Humans Glaucoma, Angle-Closure Deep Learning Prospective Studies Gonioscopy Tomography, Optical Coherence Intraocular Pressure Biometry Anterior Eye Segment
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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).
Humans Algorithms Female Reproducibility of Results Tomography, Optical Coherence Anterior Eye Segment Glaucoma, Angle-Closure Gonioscopy Cross-Sectional Studies Intraocular Pressure Male Deep Learning
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Glaucoma Expert-Level Detection of Angle Closure in Goniophotographs With Convolutional Neural Networks: The Chinese American Eye Study.

American journal of ophthalmology Feb 9, 2021
PURPOSE: To compare the performance of a novel convolutional neural network (CNN) classifier and human graders in detecting angle closure in EyeCam (Clarity Medical Systems, Pleasanton, California, USA) goniophotographs.
Ophthalmologists Glaucoma, Angle-Closure Gonioscopy Specialization Diagnosis, Computer-Assisted China Image Processing, Computer-Assisted Area Under Curve Aged, 80 and over Expert Systems Cross-Sectional Studies Asian Female Male Photography Reproducibility of Results Middle Aged Anterior Eye Segment Aged Humans Neural Networks, Computer Retrospective Studies
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Angle-closure assessment in anterior segment OCT images via deep learning.

Medical image analysis Jan 7, 2021
Precise characterization and analysis of anterior chamber angle (ACA) are of great importance in facilitating clinical examination and diagnosis of angle-closure disease. Currently, the gold standard for diagnostic angle assessment is observation of ...
Tomography, Optical Coherence Iris Anterior Eye Segment Glaucoma, Angle-Closure Gonioscopy Humans Deep Learning
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Deep learning algorithms to isolate and quantify the structures of the anterior segment in optical coherence tomography images.

The British journal of ophthalmology Sep 26, 2020
BACKGROUND/AIMS: Accurate isolation and quantification of intraocular dimensions in the anterior segment (AS) of the eye using optical coherence tomography (OCT) images is important in the diagnosis and treatment of many eye diseases, especially angl...
Humans Algorithms Prospective Studies Glaucoma, Angle-Closure Deep Learning Reproducibility of Results Female Gonioscopy Follow-Up Studies Intraocular Pressure Tomography, Optical Coherence Male Middle Aged Anterior Eye Segment
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Deep Neural Network for Scleral Spur Detection in Anterior Segment OCT Images: The Chinese American Eye Study.

Translational vision science & technology Mar 30, 2020
PURPOSE: To develop a deep neural network that detects the scleral spur in anterior segment optical coherence tomography (AS-OCT) images.
Los Angeles Asian Glaucoma, Angle-Closure Sclera Humans Neural Networks, Computer
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Development and validation of a machine learning, smartphone-based tonometer.

The British journal of ophthalmology Dec 23, 2019
BACKGROUND/AIMS: To compare intraocular pressure (IOP) measurements using a prototype smartphone tonometer with other tonometers used in clinical practice.
Low Tension Glaucoma Reproducibility of Results Aged Adult Intraocular Pressure Glaucoma, Open-Angle Male Humans Ocular Hypertension Middle Aged Machine Learning Glaucoma, Angle-Closure Pilot Projects Female Tonometry, Ocular Smartphone
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Deep Learning Classifiers for Automated Detection of Gonioscopic Angle Closure Based on Anterior Segment OCT Images.

American journal of ophthalmology Aug 22, 2019
PURPOSE: To develop and test deep learning classifiers that detect gonioscopic angle closure and primary angle closure disease (PACD) based on fully automated analysis of anterior segment OCT (AS-OCT) images.
Gonioscopy Male Middle Aged Female Deep Learning Area Under Curve Humans Aged ROC Curve Tomography, Optical Coherence Aged, 80 and over Neural Networks, Computer Anterior Eye Segment Intraocular Pressure Prospective Studies Glaucoma, Angle-Closure
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