Automatic segmentation of hyperreflective foci in OCT images.
Journal:
Computer methods and programs in biomedicine
Published Date:
Sep 1, 2019
Abstract
BACKGROUND AND OBJECTIVE: The leading cause of vision loss in the Western World is Age-related Macular Degeneration (AMD), but together with modern medicines, tracking the number of Hyperreflective Foci (HF) on Optical Coherence Tomography (OCT) images should assist the treatment of patients. Here, we developed a framework based on deep learning for the automatic segmentation of HF in OCT images.
Authors
Keywords
Algorithms
Area Under Curve
Automation
Biomarkers
Computer Graphics
Decision Support Systems, Clinical
Deep Learning
Humans
Image Processing, Computer-Assisted
Macular Degeneration
Models, Theoretical
Neural Networks, Computer
Probability
Retrospective Studies
Software
Tomography, Optical Coherence
Vascular Endothelial Growth Factor A