AIMC Topic: Nerve Fibers

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A Novel Artificial Intelligence-Based Classification of Highly Myopic Eyes Based on Visual Function and Fundus Features.

Translational vision science & technology Sep 3, 2024
PURPOSE: To develop a novel classification of highly myopic eyes using artificial intelligence (AI) and investigate its relationship with contrast sensitivity function (CSF) and fundus features.
Aged Adult Male Middle Aged Nerve Fibers Humans Artificial Intelligence Macula Lutea Female Visual Acuity Contrast Sensitivity Tomography, Optical Coherence Myopia, Degenerative Fundus Oculi Macular Degeneration
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Visual Field Prognosis From Macula and Circumpapillary Spectral Domain Optical Coherence Tomography.

Translational vision science & technology Jun 3, 2024
PURPOSE: To explore the structural-functional loss relationship from optic-nerve-head- and macula-centred spectral-domain (SD) Optical Coherence Tomography (OCT) images in the full spectrum of glaucoma patients using deep-learning methods.
Macula Lutea Middle Aged Prognosis Deep Learning Tomography, Optical Coherence Female Nerve Fibers Aged Optic Disk Humans Male Retinal Ganglion Cells Glaucoma Visual Fields Visual Field Tests
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PallorMetrics: Software for Automatically Quantifying Optic Disc Pallor in Fundus Photographs, and Associations With Peripapillary RNFL Thickness.

Translational vision science & technology May 1, 2024
PURPOSE: We sough to develop an automatic method of quantifying optic disc pallor in fundus photographs and determine associations with peripapillary retinal nerve fiber layer (pRNFL) thickness.
Female Aged Adult Male Humans Software Nerve Fibers Optic Disk Retinal Ganglion Cells Optic Nerve Diseases Middle Aged Deep Learning Tomography, Optical Coherence Fundus Oculi Photography
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Artifact Correction in Retinal Nerve Fiber Layer Thickness Maps Using Deep Learning and Its Clinical Utility in Glaucoma.

Translational vision science & technology Nov 1, 2023
PURPOSE: Correcting retinal nerve fiber layer thickness (RNFLT) artifacts in glaucoma with deep learning and evaluate its clinical usefulness.
Nerve Fibers Humans Glaucoma Deep Learning Retina Artifacts
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Deep Learning-based Diagnosis of Glaucoma Using Wide-field Optical Coherence Tomography Images.

Journal of glaucoma Sep 1, 2021
PURPOSE: (1) To evaluate the performance of deep learning (DL) classifier in detecting glaucoma, based on wide-field swept-source optical coherence tomography (SS-OCT) images. (2) To assess the performance of DL-based fusion methods in diagnosing gla...
Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Cross-Sectional Studies Intraocular Pressure Deep Learning Humans ROC Curve Glaucoma
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Deep Learning-Based Retinal Nerve Fiber Layer Thickness Measurement of Murine Eyes.

Translational vision science & technology Jul 1, 2021
PURPOSE: To design a robust and automated estimation method for measuring the retinal nerve fiber layer (RNFL) thickness using spectral domain optical coherence tomography (SD-OCT).
Animals Deep Learning Mice Optic Disk Tomography, Optical Coherence Retinal Ganglion Cells Retina Nerve Fibers
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Individualized Glaucoma Change Detection Using Deep Learning Auto Encoder-Based Regions of Interest.

Translational vision science & technology Jul 1, 2021
PURPOSE: To compare change over time in eye-specific optical coherence tomography (OCT) retinal nerve fiber layer (RNFL)-based region-of-interest (ROI) maps developed using unsupervised deep-learning auto-encoders (DL-AE) to circumpapillary RNFL (cpR...
Glaucoma, Open-Angle Intraocular Pressure Disease Progression Deep Learning Nerve Fibers Retinal Ganglion Cells Visual Fields Visual Field Tests Optic Nerve Diseases Humans Glaucoma
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Visual Field Inference From Optical Coherence Tomography Using Deep Learning Algorithms: A Comparison Between Devices.

Translational vision science & technology Jun 1, 2021
PURPOSE: To develop a deep learning model to estimate the visual field (VF) from spectral-domain optical coherence tomography (SD-OCT) and swept-source OCT (SS-OCT) and to compare the performance between them.
Intraocular Pressure Deep Learning Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Visual Fields Algorithms Cross-Sectional Studies
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Combining In Vivo Corneal Confocal Microscopy With Deep Learning-Based Analysis Reveals Sensory Nerve Fiber Loss in Acute Simian Immunodeficiency Virus Infection.

Cornea May 1, 2021
PURPOSE: To characterize corneal subbasal nerve plexus features of normal and simian immunodeficiency virus (SIV)-infected macaques by combining in vivo corneal confocal microscopy (IVCM) with automated assessments using deep learning-based methods c...
Simian Immunodeficiency Virus Cornea Trigeminal Nerve Diseases Animals Eye Infections, Viral Male Macaca nemestrina Acute Disease Middle Aged Simian Acquired Immunodeficiency Syndrome RNA, Viral Humans Deep Learning Nerve Fibers Neural Networks, Computer Real-Time Polymerase Chain Reaction Macaca mulatta Female Microscopy, Confocal Disease Models, Animal
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Pyramid-Shape Crossings and Intercrossing Fibers Are Key Elements for Construction of the Neural Network in the Superficial White Matter of the Human Cerebrum.

Cerebral cortex (New York, N.Y. : 1991) Sep 3, 2020
Structural analysis of the superficial white matter is prerequisite for the understanding of highly integrated functions of the human cerebral cortex. However, the principal components, U-fibers, have been regarded as simple wires to connect adjacent...
Nerve Fibers Cerebral Cortex White Matter Aged Neural Pathways Diffusion Tensor Imaging Humans Diffusion Magnetic Resonance Imaging Aged, 80 and over Neural Networks, Computer Telencephalon Male Pyramidal Tracts Female Middle Aged
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