Fully automated, deep learning segmentation of oxygen-induced retinopathy images
Abstract
Oxygen-induced retinopathy (OIR) is a widely used model to study ischemia-driven neovascularization (NV) in the retina and to serve in proof-of-concept studies in evaluating antiangiogenic drugs for ocular, as well as nonocular, diseases. The primary parameters that are analyzed in this mouse model include the percentage of retina with vaso-obliteration (VO) and NV areas. However, quantification of these two key variables comes with a great...
Paper Details
Title
Fully automated, deep learning segmentation of oxygen-induced retinopathy images
Published Date
Dec 21, 2017
Journal
Volume
2
Issue
24
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