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

R.A. Welikala, P.J. Foster, P.H. Whincup, A.R. Rudnicka, C.G. Owen, D.P. Strachan, S.A. Barman

    Research output: Contribution to journalArticlepeer-review

    Original languageEnglish
    Pages (from-to)23-32
    JournalComputers in Biology and Medicine
    Volume90
    Early online date8 Sept 2017
    DOIs
    Publication statusPublished - 1 Nov 2017

    Bibliographical note

    Note: 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).

    Keywords

    • Biological sciences

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