AIMC Topic: Anterior Eye Segment
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Predicting demographic characteristics from anterior segment OCT images with deep learning: A study protocol.
PloS one
Aug 11, 2022
INTRODUCTION: Anterior segment optical coherence tomography (AS-OCT) is a non-contact, rapid, and high-resolution in vivo modality for imaging of the eyeball's anterior segment structures. Because progressive anterior segment deformation is a hallmar...
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...
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...
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.
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).
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.
Anterior Eye Segment
Ophthalmologists
Glaucoma, Angle-Closure
Gonioscopy
Specialization
Humans
Area Under Curve
Neural Networks, Computer
Expert Systems
Asian
Photography
Aged, 80 and over
Diagnosis, Computer-Assisted
Cross-Sectional Studies
China
Male
Image Processing, Computer-Assisted
Retrospective Studies
Middle Aged
Female
Reproducibility of Results
Aged
Prediction of Phakic Intraocular Lens Vault Using Machine Learning of Anterior Segment Optical Coherence Tomography Metrics.
American journal of ophthalmology
Feb 9, 2021
PURPOSE: To compare the achieved vault using the conventional manufacturer's nomogram and the predicted vault using machine learning, in a large cohort of eyes undergoing posterior chamber phakic intraocular lens (EVO implantable collamer lens [ICL];...
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 ...
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...
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