Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort

Volume: 90, Pages: 23 - 32
Published: Nov 1, 2017
Abstract
The morphometric characteristics of the retinal vasculature are associated with future risk of many systemic and vascular diseases. However, analysis of data from large population based studies is needed to help resolve uncertainties in some of these associations. This requires automated systems that extract quantitative measures of vessel morphology from large numbers of retinal images. Associations between retinal vessel morphology and disease...
Paper Details
Title
Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort
Published Date
Nov 1, 2017
Volume
90
Pages
23 - 32
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