AIMC Topic: Visual Fields
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Multimodal Machine Learning Using Visual Fields and Peripapillary Circular OCT Scans in Detection of Glaucomatous Optic Neuropathy.
Ophthalmology
Jul 30, 2021
PURPOSE: To develop and validate a multimodal artificial intelligence algorithm, FusionNet, using the pattern deviation probability plots from visual field (VF) reports and circular peripapillary OCT scans to detect glaucomatous optic neuropathy (GON...
Intraocular Pressure
Male
Middle Aged
ROC Curve
Vision Disorders
Female
Humans
Aged
Machine Learning
Adult
Algorithms
Cross-Sectional Studies
Retinal Ganglion Cells
Visual Fields
Visual Field Tests
Optic Nerve Diseases
Glaucoma, Open-Angle
Multimodal Imaging
Area Under Curve
Tomography, Optical Coherence
Nerve Fibers
Deep Learning Estimation of 10-2 and 24-2 Visual Field Metrics Based on Thickness Maps from Macula OCT.
Ophthalmology
Apr 23, 2021
PURPOSE: To develop deep learning (DL) systems estimating visual function from macula-centered spectral-domain (SD) OCT images.
Deep Learning Ensemble Method for Classifying Glaucoma Stages Using Fundus Photographs and Convolutional Neural Networks.
Current eye research
Apr 6, 2021
: This study developed and evaluated a deep learning ensemble method to automatically grade the stages of glaucoma depending on its severity.: After cross-validation of three glaucoma specialists, the final dataset comprised of 3,460 fundus photograp...
Functional parcellation of mouse visual cortex using statistical techniques reveals response-dependent clustering of cortical processing areas.
PLoS computational biology
Feb 4, 2021
The visual cortex of the mouse brain can be divided into ten or more areas that each contain complete or partial retinotopic maps of the contralateral visual field. It is generally assumed that these areas represent discrete processing regions. In co...
Predicting the central 10 degrees visual field in glaucoma by applying a deep learning algorithm to optical coherence tomography images.
Scientific reports
Jan 26, 2021
We aimed to develop a model to predict visual field (VF) in the central 10 degrees in patients with glaucoma, by training a convolutional neural network (CNN) with optical coherence tomography (OCT) images and adjusting the values with Humphrey Field...
Predicting Glaucoma Development With Longitudinal Deep Learning Predictions From Fundus Photographs.
American journal of ophthalmology
Jan 7, 2021
PURPOSE: To assess whether longitudinal changes in a deep learning algorithm's predictions of retinal nerve fiber layer (RNFL) thickness based on fundus photographs can predict future development of glaucomatous visual field defects.
Assessing Glaucoma Progression Using Machine Learning Trained on Longitudinal Visual Field and Clinical Data.
Ophthalmology
Dec 25, 2020
PURPOSE: Rule-based approaches to determining glaucoma progression from visual fields (VFs) alone are discordant and have tradeoffs. To detect better when glaucoma progression is occurring, we used a longitudinal data set of merged VF and clinical da...
Visual Field Estimation by Probabilistic Classification.
IEEE journal of biomedical and health informatics
Dec 4, 2020
The gold standard clinical tool for evaluating visual dysfunction in cases of glaucoma and other disorders of vision remains the visual field or threshold perimetry exam. Administration of this exam has evolved over the years into a sophisticated, st...
Estimating visual field loss from monoscopic optic disc photography using deep learning model.
Scientific reports
Dec 3, 2020
Visual field assessment is recognized as the important criterion of glaucomatous damage judgement; however, it can show large test-retest variability. We developed a deep learning (DL) algorithm that quantitatively predicts mean deviation (MD) of sta...
Detection of Glaucoma Deterioration in the Macular Region with Optical Coherence Tomography: Challenges and Solutions.
American journal of ophthalmology
Sep 18, 2020
PURPOSE: Macular imaging with optical coherence tomography (OCT) measures the most critical retinal ganglion cells (RGCs) in the human eye. The goal of this perspective is to review the challenges to detection of glaucoma progression with macular OCT...
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