QUARTZ : QUantitative Analysis of Retinal Vessel Topology and size : an automated system for quantification of retinal vessels morphology
- Submitting institution
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Kingston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-10-1344
- Type
- D - Journal article
- DOI
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10.1016/j.eswa.2015.05.022
- Title of journal
- Expert Systems with Applications
- Article number
- -
- First page
- 7221
- Volume
- 42
- Issue
- -
- ISSN
- 0957-4174
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
-
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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- Research group(s)
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- Citation count
- 30
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This work presents a computer vision system that includes machine learning to quantify retinal parameters on large fundus image datasets. This system has enabled the epidemiological analysis of retinal datasets with phenotypes to predict disease. Clinical publications resulted from the use of the system [Tapp 2019, Yates 2019, Owen 2019, Rucknicka 2020, Tapp 2020, Yates 2020]. Moreover, the system was proposed for analysis of the UK Biobank dataset on the British Heart Foundation grant awarded to assess cardiovascular risk PG/15/101/31889 (2016).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -