Using Deep Learning and Transfer Learning to Accurately Diagnose Early-Onset Glaucoma From Macular Optical Coherence Tomography Images.
Journal:
American journal of ophthalmology
Published Date:
Feb 1, 2019
Abstract
PURPOSE: We sought to construct and evaluate a deep learning (DL) model to diagnose early glaucoma from spectral-domain optical coherence tomography (OCT) images.
Authors
Keywords
Adult
Aged
Area Under Curve
Datasets as Topic
Deep Learning
Female
Glaucoma
Glaucoma, Open-Angle
Gonioscopy
Humans
Intraocular Pressure
Male
Middle Aged
Nerve Fibers
Reproducibility of Results
Retinal Ganglion Cells
ROC Curve
Sensitivity and Specificity
Tomography, Optical Coherence
Transfer, Psychology
Visual Field Tests
Visual Fields