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

Welikala, R.A., Foster, P.J., Whincup, P.H., Rudnicka, A.R., Owen, C.G., Strachan, D.P. and Barman, S.A. (2017) Automated arteriole and venule classification using deep learning for retinal images from the UK Biobank cohort. Computers in Biology and Medicine, 90, pp. 23-32. ISSN (print) 0010-4825

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Additional Information: This research has been conducted using the UK Biobank resource under application number 522. The UK Biobank Eye and Vision Consortium is supported by funding from The Special Trustees of Moorfields Eye Hospital NHS Foundation Trust, and at the NIHR Biomedical Research Centre at Moorfields Eye Hospital and UCL Institute of Ophthalmology. The image analysis work was supported by the Medical Research Council Population and Systems Medicine Board (MR/L02005X/1), the British Heart Foundation (PG/15/101/31889), and Fight for Sight (1477/8).
Research Area: Biological sciences
Computer science and informatics
Faculty, School or Research Centre: Faculty of Science, Engineering and Computing (until 2017) > School of Computing and Information Systems
Faculty of Science, Engineering and Computing (until 2017) > School of Mathematics
Depositing User: Katrina Clifford
Date Deposited: 24 Oct 2017 10:51
Last Modified: 08 Sep 2018 02:05
DOI: https://doi.org/10.1016/j.compbiomed.2017.09.005
URI: http://eprints.kingston.ac.uk/id/eprint/39200

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