AIMC Topic: Anterior Chamber
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Ocular Biometric Components in Hyperopic Children and a Machine Learning-Based Model to Predict Axial Length.
Translational vision science & technology
May 1, 2024
PURPOSE: The purpose of this study was to investigate the development of optical biometric components in children with hyperopia, and apply a machine-learning model to predict axial length.
A Deep Learning System for Automatic Assessment of Anterior Chamber Angle in Ultrasound Biomicroscopy Images.
Translational vision science & technology
Sep 1, 2021
PURPOSE: To develop and assess a deep learning system that automatically detects angle closure and quantitatively measures angle parameters from ultrasound biomicroscopy (UBM) images using a deep learning algorithm.
Automatic Anterior Chamber Angle Classification Using Deep Learning System and Anterior Segment Optical Coherence Tomography Images.
Translational vision science & technology
May 3, 2021
PURPOSE: The purpose of this study was to develop a software package for the automatic classification of anterior chamber angle using anterior segment optical coherence tomography (AS-OCT).
Automatic Anterior Chamber Angle Measurement for Ultrasound Biomicroscopy Using Deep Learning.
Journal of glaucoma
Feb 1, 2020
PURPOSE: To develop a software package for automated measuring of the trabecular-iris angle (TIA) using ultrasound biomicroscopy.
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