Segmentation of the blood vessels and optic disk in retinal images
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 012-100671-6415
- Type
- D - Journal article
- DOI
-
10.1109/JBHI.2014.2302749
- Title of journal
- Ieee Journal Of Biomedical And Health Informatics
- Article number
- -
- First page
- 1874
- Volume
- 18
- Issue
- 6
- ISSN
- 2168-2194
- Open access status
- Out of scope for open access requirements
- Month of publication
- November
- Year of publication
- 2014
- URL
-
http://bura.brunel.ac.uk/handle/2438/14261
- 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
- No
- Number of additional authors
-
3
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 85
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Published in one of the top journals ranked on medical and health informatics, the paper documents one of the most innovative pieces of work on blood vessel and optic disc segmentation and one of the most comprehensive evaluations against 15 state-of-the-art methods on two benchmark datasets, demonstrating exceptional performance. This paper has become a standard topical reference for the topic of blood vessel and optic disc segmentation, and even for a broader topic of retina image processing. It is the 34th most cited among 1605 papers published in this leading journal since 2014.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
