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Nerve Fibers

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A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head.

Investigative ophthalmology & visual science Jan 1, 2018
PURPOSE: To develop a deep learning approach to digitally stain optical coherence tomography (OCT) images of the optic nerve head (ONH).
Middle Aged Tomography, Optical Coherence Adult Male Nerve Fibers Machine Learning Retinal Ganglion Cells Optic Disk Algorithms Humans Female Visual Fields Glaucoma Reproducibility of Results
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Hybrid Deep Learning on Single Wide-field Optical Coherence tomography Scans Accurately Classifies Glaucoma Suspects.

Journal of glaucoma Dec 1, 2017
PURPOSE: Existing summary statistics based upon optical coherence tomographic (OCT) scans and/or visual fields (VFs) are suboptimal for distinguishing between healthy and glaucomatous eyes in the clinic. This study evaluates the extent to which a hyb...
Reproducibility of Results Intraocular Pressure Neural Networks, Computer Machine Learning Retinal Ganglion Cells Visual Fields Tomography, Optical Coherence Nerve Fibers Humans Glaucoma, Open-Angle Ocular Hypertension
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Neural Network Analysis of Different Segmentation Strategies of Nerve Fiber Layer Assessment for Glaucoma Diagnosis.

Journal of glaucoma Dec 1, 2015
PURPOSE: To compare the diagnostic performance of different segmentations of the nerve fiber layer (NFL) thickness measurements using an artificial neural network and to define the optimal number of sectors with best diagnostic ability for glaucoma d...
Tomography, Optical Coherence Nerve Fibers Retinal Ganglion Cells Middle Aged ROC Curve Male Female Aged Cross-Sectional Studies Intraocular Pressure Neural Networks, Computer Glaucoma Humans
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Artificial Neural Network Approach for Differentiating Open-Angle Glaucoma From Glaucoma Suspect Without a Visual Field Test.

Investigative ophthalmology & visual science Jun 1, 2015
PURPOSE: To increase the effectiveness of treating open-angle glaucoma (OAG), we tried to find a screening method of differentiating OAG from glaucoma suspect (GS) without a visual field (VF) test.
Retinal Ganglion Cells Multivariate Analysis Diagnostic Techniques, Ophthalmological Glaucoma, Open-Angle Intraocular Pressure Visual Acuity Female Tomography, Optical Coherence Sensitivity and Specificity Male Diagnosis, Differential Nerve Fibers Risk Factors Neural Networks, Computer Humans Cross-Sectional Studies Predictive Value of Tests Middle Aged Aged Ocular Hypertension Glaucoma Refractive Errors Adult
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