AIMC Topic: Nerve Fibers

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A Deep Learning Algorithm to Quantify Neuroretinal Rim Loss From Optic Disc Photographs.

American journal of ophthalmology Jan 26, 2019
PURPOSE: To train a deep learning (DL) algorithm that quantifies glaucomatous neuroretinal damage on fundus photographs using the minimum rim width relative to Bruch membrane opening (BMO-MRW) from spectral-domain optical coherence tomography (SDOCT)...
Glaucoma, Open-Angle Bruch Membrane Humans Vision Disorders Area Under Curve Tomography, Optical Coherence Nerve Fibers Optic Disk Retinal Ganglion Cells Visual Fields Visual Field Tests Optic Nerve Diseases Photography Cross-Sectional Studies Intraocular Pressure Male Middle Aged Deep Learning Algorithms Retrospective Studies Female Aged Aged, 80 and over
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From Machine to Machine: An OCT-Trained Deep Learning Algorithm for Objective Quantification of Glaucomatous Damage in Fundus Photographs.

Ophthalmology Dec 20, 2018
PURPOSE: Previous approaches using deep learning (DL) algorithms to classify glaucomatous damage on fundus photographs have been limited by the requirement for human labeling of a reference training set. We propose a new approach using quantitative s...
Optic Disk Retinal Ganglion Cells Visual Fields Visual Field Tests Optic Nerve Diseases Photography Glaucoma, Open-Angle ROC Curve Tonometry, Ocular Intraocular Pressure Visual Acuity Gonioscopy Male Algorithms Tomography, Optical Coherence Middle Aged Female Fundus Oculi Deep Learning Nerve Fibers Humans Aged Aged, 80 and over Cross-Sectional Studies
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Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images.

American journal of ophthalmology Oct 12, 2018
PURPOSE: We sought to construct and evaluate a deep learning (DL) model to diagnose early glaucoma from spectral-domain optical coherence tomography (OCT) images.
Tomography, Optical Coherence Datasets as Topic Nerve Fibers Retinal Ganglion Cells Visual Fields Male Middle Aged Deep Learning ROC Curve Area Under Curve Humans Visual Field Tests Reproducibility of Results Glaucoma Transfer, Psychology Aged Glaucoma, Open-Angle Female Gonioscopy Adult Sensitivity and Specificity Intraocular Pressure
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A Spiking Neural Simulator Integrating Event-Driven and Time-Driven Computation Schemes Using Parallel CPU-GPU Co-Processing: A Case Study.

IEEE transactions on neural networks and learning systems Aug 26, 2014
Time-driven simulation methods in traditional CPU architectures perform well and precisely when simulating small-scale spiking neural networks. Nevertheless, they still have drawbacks when simulating large-scale systems. Conversely, event-driven simu...
Microcomputers Purkinje Cells Benchmarking Neural Networks, Computer Cerebellum Algorithms Nerve Fibers Computer Simulation Computer Graphics Reproducibility of Results Computers, Hybrid
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Multimodal Artificial Intelligence Models Predicting Glaucoma Progression Using Electronic Health Records and Retinal Nerve Fiber Layer Scans.

Translational vision science & technology Mar 3, 2025
PURPOSE: The purpose of this study was to develop models that predict which patients with glaucoma will progress to require surgery, combining structured data from electronic health records (EHRs) and retinal fiber layer optical coherence tomography ...
Humans Glaucoma Artificial Intelligence Retrospective Studies Electronic Health Records Deep Learning Female ROC Curve Aged Tomography, Optical Coherence Male Nerve Fibers Middle Aged Retinal Ganglion Cells Disease Progression
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New Method of Early RRMS Diagnosis Using OCT-Assessed Structural Retinal Data and Explainable Artificial Intelligence.

Translational vision science & technology Feb 3, 2025
PURPOSE: The purpose of this study was to provide the development of a method to classify optical coherence tomography (OCT)-assessed retinal data in the context of automatic diagnosis of early-stage multiple sclerosis (MS) with decision explanation.
Tomography, Optical Coherence Humans Retina Young Adult Artificial Intelligence Adult Female Early Diagnosis Male Middle Aged Nerve Fibers Support Vector Machine Multiple Sclerosis, Relapsing-Remitting
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RetOCTNet: Deep Learning-Based Segmentation of OCT Images Following Retinal Ganglion Cell Injury.

Translational vision science & technology Feb 3, 2025
PURPOSE: We present RetOCTNet, a deep learning tool to segment the retinal nerve fiber layer (RNFL) and total retinal thickness automatically from optical coherence tomography (OCT) scans in rats following retinal ganglion cell (RGC) injury.
Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Ocular Hypertension Animals Optic Nerve Injuries Male Deep Learning Rats Disease Models, Animal
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[Application of neural networks for improving the methods of assessment of corneal nerve fibers (preliminary report)].

Vestnik oftalmologii Jan 1, 2025
UNLABELLED: Processing large datasets using artificial intelligence is a promising approach in disease diagnosis and monitoring that focuses on improving research algorithms for existing technologies. Interest in studying corneal nerve fibers (CNFs) ...
Adult Cornea Male Middle Aged Image Processing, Computer-Assisted Humans Neural Networks, Computer Algorithms Female Microscopy, Confocal Nerve Fibers
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CNN-Based Device-Agnostic Feature Extraction From ONH OCT Scans.

Translational vision science & technology Dec 2, 2024
PURPOSE: Optical coherence tomography (OCT)-derived measurements of the optic nerve head (ONH) from different devices are not interchangeable. This poses challenges to patient follow-up and collaborative studies. Here, we present a device-agnostic me...
Male Middle Aged Tomography, Optical Coherence Nerve Fibers Optic Disk Humans Neural Networks, Computer Female Aged Adult Retinal Ganglion Cells
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Using Multi-Layer Perceptron Driven Diagnosis to Compare Biomarkers for Primary Open Angle Glaucoma.

Investigative ophthalmology & visual science Sep 3, 2024
PURPOSE: To use neural network machine learning (ML) models to identify the most relevant ocular biomarkers for the diagnosis of primary open-angle glaucoma (POAG).
Male Middle Aged ROC Curve Area Under Curve Tomography, Optical Coherence Prospective Studies Nerve Fibers Biomarkers Humans Optic Disk Female Neural Networks, Computer Retinal Ganglion Cells Aged Visual Fields Intraocular Pressure Glaucoma, Open-Angle
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