AIMC Topic: Gonioscopy

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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.
Cross-Sectional Studies Male Humans Middle Aged Diagnosis, Computer-Assisted Neural Networks, Computer China Retrospective Studies Female Reproducibility of Results Aged Aged, 80 and over Anterior Eye Segment Ophthalmologists Image Processing, Computer-Assisted Glaucoma, Angle-Closure Area Under Curve Gonioscopy Expert Systems Specialization Asian Photography
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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 ...
Glaucoma, Angle-Closure Gonioscopy Humans Deep Learning Tomography, Optical Coherence Iris Anterior Eye Segment
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Deep Learning for Anterior Segment Optical Coherence Tomography to Predict the Presence of Plateau Iris.

Translational vision science & technology Jan 6, 2021
PURPOSE: The purpose of this study was to evaluate the diagnostic performance of deep learning (DL) anterior segment optical coherence tomography (AS-OCT) as a plateau iris prediction model.
Humans Cross-Sectional Studies Deep Learning Tomography, Optical Coherence Iris Gonioscopy
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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...
Reproducibility of Results Intraocular Pressure Male Middle Aged Deep Learning Humans Algorithms Prospective Studies Female Follow-Up Studies Tomography, Optical Coherence Anterior Eye Segment Glaucoma, Angle-Closure Gonioscopy
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Deep learning model to predict visual field in central 10° from optical coherence tomography measurement in glaucoma.

The British journal of ophthalmology Jun 27, 2020
BACKGROUND/AIM: To train and validate the prediction performance of the deep learning (DL) model to predict visual field (VF) in central 10° from spectral domain optical coherence tomography (SD-OCT).
Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Visual Fields Visual Field Tests Intraocular Pressure Male Middle Aged Deep Learning Predictive Value of Tests Gonioscopy Humans Glaucoma Female Aged Cross-Sectional Studies
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Predicting the Glaucomatous Central 10-Degree Visual Field From Optical Coherence Tomography Using Deep Learning and Tensor Regression.

American journal of ophthalmology May 6, 2020
PURPOSE: To predict the visual field (VF) of glaucoma patients within the central 10° from optical coherence tomography (OCT) measurements using deep learning and tensor regression.
Optic Nerve Diseases Glaucoma, Open-Angle Gonioscopy Slit Lamp Microscopy Axial Length, Eye Visual Acuity Vision Disorders Tomography, Optical Coherence Intraocular Pressure Visual Fields Humans Male Visual Field Tests Middle Aged Retrospective Studies Deep Learning Female Aged Adult Sensitivity and Specificity Cross-Sectional Studies
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Machine learning classifiers-based prediction of normal-tension glaucoma progression in young myopic patients.

Japanese journal of ophthalmology Dec 17, 2019
PURPOSE: To assess the performance of machine learning classifiers for prediction of progression of normal-tension glaucoma (NTG) in young myopic patients.
Humans Machine Learning Female Young Adult Adult Cross-Sectional Studies Intraocular Pressure Male Gonioscopy Slit Lamp Microscopy Tomography, Optical Coherence Low Tension Glaucoma Disease Progression Nerve Fibers Myopia Retinal Ganglion Cells Diagnosis, Computer-Assisted Visual Fields ROC Curve Visual Field Tests Area Under Curve
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Human Versus Machine: Comparing a Deep Learning Algorithm to Human Gradings for Detecting Glaucoma on Fundus Photographs.

American journal of ophthalmology Nov 12, 2019
PURPOSE: To compare the diagnostic performance of human gradings vs predictions provided by a machine-to-machine (M2M) deep learning (DL) algorithm trained to quantify retinal nerve fiber layer (RNFL) damage on fundus photographs.
Glaucoma, Open-Angle Gonioscopy Visual Fields Visual Field Tests Optic Nerve Diseases Photography Physical Examination Area Under Curve Humans Tomography, Optical Coherence Algorithms Fundus Oculi Male Nerve Fibers Retrospective Studies Middle Aged Retinal Ganglion Cells Deep Learning Female ROC Curve Aged Vision Disorders Cross-Sectional Studies Intraocular Pressure
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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.
Anterior Eye Segment Glaucoma, Angle-Closure Gonioscopy Middle Aged Deep Learning ROC Curve Area Under Curve Tomography, Optical Coherence Humans Female Neural Networks, Computer Aged Prospective Studies Aged, 80 and over Intraocular Pressure Male
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A Deep Learning System for Automated Angle-Closure Detection in Anterior Segment Optical Coherence Tomography Images.

American journal of ophthalmology Mar 6, 2019
PURPOSE: Anterior segment optical coherence tomography (AS-OCT) provides an objective imaging modality for visually identifying anterior segment structures. An automated detection system could assist ophthalmologists in interpreting AS-OCT images for...
Humans Middle Aged Glaucoma, Angle-Closure Artificial Intelligence Deep Learning Gonioscopy Female ROC Curve Male Tomography, Optical Coherence Anterior Eye Segment
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