AIMC Topic: Optic Disk

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Validation of a Deep Learning Model to Screen for Glaucoma Using Images from Different Fundus Cameras and Data Augmentation.

Ophthalmology. Glaucoma Apr 1, 2019
PURPOSE: To validate a deep residual learning algorithm to diagnose glaucoma from fundus photography using different fundus cameras at different institutes.
Humans Glaucoma Algorithms Deep Learning ROC Curve Female Fundus Oculi Aged Optic Disk Cross-Sectional Studies Fluorescein Angiography Male
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Posterior scleral deformations around optic disc are associated with visual field damage in open-angle glaucoma patients with myopia.

PloS one Mar 15, 2019
PURPOSE: To identify important variables associated with visual field (VF) defects in open-angle glaucoma (OAG) with myopia.
Visual Field Tests Sclera Mice Logistic Models Optic Disk Visual Fields Neural Networks, Computer Glaucoma Adult Cross-Sectional Studies Male Middle Aged Myopia Intraocular Pressure Animals Humans
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Evaluation of deep convolutional neural networks for glaucoma detection.

Japanese journal of ophthalmology Feb 24, 2019
PURPOSE: To investigate the performance of deep convolutional neural networks (DCNNs) for glaucoma discrimination using color fundus images STUDY DESIGN: A retrospective study PATIENTS AND METHODS: To investigate the discriminative ability of 3 DCNNs...
Humans Neural Networks, Computer Retrospective Studies Glaucoma ROC Curve Optic Disk Diagnostic Techniques, Ophthalmological
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Patch-Based Output Space Adversarial Learning for Joint Optic Disc and Cup Segmentation.

IEEE transactions on medical imaging Feb 18, 2019
Glaucoma is a leading cause of irreversible blindness. Accurate segmentation of the optic disc (OD) and optic cup (OC) from fundus images is beneficial to glaucoma screening and diagnosis. Recently, convolutional neural networks demonstrate promising...
ROC Curve Fundus Oculi Image Interpretation, Computer-Assisted Diagnostic Techniques, Ophthalmological Optic Disk Humans Neural Networks, Computer Glaucoma Databases, Factual
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Fully Convolutional Networks for Monocular Retinal Depth Estimation and Optic Disc-Cup Segmentation.

IEEE journal of biomedical and health informatics Feb 14, 2019
Glaucoma is a serious ocular disorder for which the screening and diagnosis are carried out by the examination of the optic nerve head (ONH). The color fundus image (CFI) is the most common modality used for ocular screening. In CFI, the central regi...
Diagnostic Techniques, Ophthalmological ROC Curve Retina Image Interpretation, Computer-Assisted Optic Disk Humans Neural Networks, Computer Glaucoma
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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)...
Nerve Fibers Optic Disk Retinal Ganglion Cells Visual Fields Deep Learning Vision Disorders Area Under Curve Tomography, Optical Coherence Bruch Membrane Visual Field Tests Optic Nerve Diseases Photography Glaucoma, Open-Angle Retrospective Studies Female Aged Aged, 80 and over Cross-Sectional Studies Intraocular Pressure Male Middle Aged Humans Algorithms
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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...
Deep Learning ROC Curve Visual Acuity Tomography, Optical Coherence Fundus Oculi Glaucoma, Open-Angle Cross-Sectional Studies Nerve Fibers Humans Tonometry, Ocular Intraocular Pressure Optic Disk Gonioscopy Male Retinal Ganglion Cells Visual Fields Middle Aged Algorithms Visual Field Tests Optic Nerve Diseases Female Photography Aged Aged, 80 and over
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Comparison of Machine-Learning Classification Models for Glaucoma Management.

Journal of healthcare engineering Jun 19, 2018
This study develops an objective machine-learning classification model for classifying glaucomatous optic discs and reveals the classificatory criteria to assist in clinical glaucoma management. In this study, 163 glaucoma eyes were labelled with fou...
Optic Disk Nerve Net Eye Humans Decision Trees Glaucoma Tomography, Optical Coherence Machine Learning Bayes Theorem Algorithms Regional Blood Flow
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A Deep Learning-Based Algorithm Identifies Glaucomatous Discs Using Monoscopic Fundus Photographs.

Ophthalmology. Glaucoma Jun 5, 2018
PURPOSE: To develop and test the performance of a deep learning-based algorithm for glaucomatous disc identification using monoscopic fundus photographs.
Glaucoma Artificial Intelligence Algorithms Female Humans Fundus Oculi Male Optic Disk Middle Aged Diagnostic Techniques, Ophthalmological Deep Learning ROC Curve
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Structure-Preserving Guided Retinal Image Filtering and Its Application for Optic Disk Analysis.

IEEE transactions on medical imaging May 21, 2018
Retinal fundus photographs have been used in the diagnosis of many ocular diseases such as glaucoma, pathological myopia, age-related macular degeneration, and diabetic retinopathy. With the development of computer science, computer aided diagnosis h...
Optic Disk Retinal Diseases Diagnostic Techniques, Ophthalmological Humans Algorithms Deep Learning Retina Image Interpretation, Computer-Assisted
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