Detection of glaucoma progression on longitudinal series of en-face macular optical coherence tomography angiography images with a deep learning model.
Journal:
The British journal of ophthalmology
PMID:
39117359
Abstract
BACKGROUND/AIMS: To design a deep learning (DL) model for the detection of glaucoma progression with a longitudinal series of macular optical coherence tomography angiography (OCTA) images.
Authors
Keywords
Aged
Deep Learning
Disease Progression
Female
Fluorescein Angiography
Follow-Up Studies
Glaucoma, Open-Angle
Humans
Intraocular Pressure
Macula Lutea
Male
Middle Aged
Optic Disk
Retinal Ganglion Cells
Retinal Vessels
Retrospective Studies
ROC Curve
Tomography, Optical Coherence
Visual Field Tests
Visual Fields