Retinal Area Detector From Scanning Laser Ophthalmoscope (SLO) Images for Diagnosing Retinal Diseases
- Submitting institution
-
Manchester Metropolitan University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 2325
- Type
- D - Journal article
- DOI
-
10.1109/JBHI.2014.2352271
- Title of journal
- IEEE Journal of Biomedical and Health Informatics
- Article number
- -
- First page
- 1472
- Volume
- 19
- Issue
- 4
- ISSN
- 2168-2194
- Open access status
- Out of scope for open access requirements
- Month of publication
- August
- Year of publication
- 2014
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
4
- Research group(s)
-
A - Data Science
- Citation count
- 7
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded by EPSRC-DHPA(EP/J50063X/1), this research is the result of a collaboration with industrial partner Optos (jvanhemert@OPTOS.COM). The paper proposes a novel retinal area detector for automated differentiation between the true retinal area and the artefacts in an SLO image. Optos has subsequently commercialised the detector and include it in their product line. It was selected as a featured article in the journal and made us a finalist in the prestigious UK-ICT-pioneer 2015 competition (transforming society category). It led to follow-on contracts with Optos and a collaboration with Harvard Medical School (Louis_Pasquale@meei.harvard.edu) and other projects (Academy of Medical Sciences-NAF\R1\180371, Horizon2020-ImaginLife-Grant No.721537).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -