AIMC Topic: Iris
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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 Localization of the Scleral Spur Using Deep Learning and Ultrasound Biomicroscopy.
Translational vision science & technology
Aug 2, 2021
PURPOSE: The purpose of this study was to develop a convolutional neural network (CNN) for automated localization of the scleral spur in ultrasound biomicroscopy (UBM) images of open-angle eyes.
Screening and identifying hepatobiliary diseases through deep learning using ocular images: a prospective, multicentre study.
The Lancet. Digital health
Feb 1, 2021
BACKGROUND: Ocular changes are traditionally associated with only a few hepatobiliary diseases. These changes are non-specific and have a low detection rate, limiting their potential use as clinically independent diagnostic features. Therefore, we ai...
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.
[Clinical and theoretical substantiation of geometrical, optical and functional features of the pupil of the artificial iris].
Vestnik oftalmologii
Jan 1, 2019
UNLABELLED: Presence of an extensive iris defect requires implantation of artificial iris (AI) to close it. With biometric parameters of the AI being as close to an intact eye as possible, it becomes viable to achieve good clinical and functional res...
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