AIMC Topic: Microscopy, Acoustic

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Deep learning-based automatic differentiation of acute angle closure with or without zonulopathy using ultrasound biomicroscopy: a comparison of diagnostic performance with ophthalmologists.

BMJ open ophthalmology May 22, 2025
OBJECTIVE: This study aims to develop ultrasound biomicroscopy (UBM)-based artificial intelligence (AI) models for preoperative differentiation of acute angle closure (AAC) with or without zonulopathy and to compare their comprehensive diagnostic per...
Tomography, Optical Coherence Acute Disease ROC Curve Diagnosis, Differential Ophthalmologists Glaucoma, Angle-Closure Ligaments Microscopy, Acoustic Cross-Sectional Studies Female Male Aged Middle Aged Humans Deep Learning
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[Application of artificial intelligence methods in the diagnosis and treatment of primary angle-closure disease].

Vestnik oftalmologii Jan 1, 2024
This article reviews literature on the use of artificial intelligence (AI) methods for the diagnosis and treatment of primary angle-closure disease (PACD). The review describes how AI techniques enhance the efficiency of population screening for ante...
Humans Artificial Intelligence Microscopy, Acoustic Glaucoma, Angle-Closure Deep Learning Tomography, Optical Coherence Gonioscopy
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Deep Learning Segmentation, Visualization, and Automated 3D Assessment of Ciliary Body in 3D Ultrasound Biomicroscopy Images.

Translational vision science & technology Oct 3, 2022
PURPOSE: This study aimed to develop a fully automated deep learning ciliary body segmentation and assessment approach in three-dimensional ultrasound biomicroscopy (3D-UBM) images.
Microscopy, Acoustic Ciliary Body Humans Deep Learning Imaging, Three-Dimensional Cadaver
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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.
Glaucoma, Angle-Closure Anterior Chamber Iris Microscopy, Acoustic Humans Deep Learning
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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.
Glaucoma, Angle-Closure Sclera Iris Humans Microscopy, Acoustic Deep Learning
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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.
Iris Microscopy, Acoustic Neural Networks, Computer Anterior Chamber Algorithms Trabecular Meshwork Aged Humans Middle Aged Adult Female Intraocular Pressure Deep Learning Reproducibility of Results Male
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A Convolutional Neural Network for 250-MHz Quantitative Acoustic-microscopy Resolution Enhancement.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jul 1, 2019
Quantitative acoustic microscopy (QAM) permits the formation of quantitative two-dimensional (2D) maps of acoustic and mechanical properties of soft tissues at microscopic resolution. The 2D maps formed using our custom SAM systems employing a 250-MH...
Microscopy, Acoustic Lymph Nodes Machine Learning Humans Acoustics Electric Impedance Neural Networks, Computer Signal-To-Noise Ratio Breast Neoplasms
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