DocumentCode
3685129
Title
Automated retinal vessel recognition and measurements on large datasets
Author
R.A. Welikala;M.M. Fraz;S. Hayat;A.R. Rudnicka;P.J. Foster;P.H. Whincup;C.G. Owen;D.P. Strachan;S.A. Barman
Author_Institution
School of Computing and Information Systems, Kingston University London, United Kingdom
fYear
2015
Firstpage
5239
Lastpage
5242
Abstract
The characteristics of the retinal vascular network have been prospectively associated with many systemic and vascular diseases. QUARTZ is a fully automated software that has been developed to localize and quantify the morphological characteristics of blood vessels in retinal images for use in epidemiological studies. This software was used to analyse a dataset containing 16,000 retinal images from the EPIC-Norfolk cohort study. The objective of this paper is to both assess the suitability of this dataset for computational analysis and to further evaluate the QUARTZ software.
Keywords
"Image segmentation","Biomedical imaging","Retinal vessels","Optical imaging","Software","Morphology"
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
ISSN
1094-687X
Electronic_ISBN
1558-4615
Type
conf
DOI
10.1109/EMBC.2015.7319573
Filename
7319573
Link To Document