Fuzzy-rough assisted refinement of image processing procedure for mammographic risk assessment
- Submitting institution
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Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 31837955
- Type
- D - Journal article
- DOI
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10.1016/j.asoc.2020.106230
- Title of journal
- Applied Soft Computing
- Article number
- 106230
- First page
- -
- Volume
- 91
- Issue
- -
- ISSN
- 1568-4946
- Open access status
- Compliant
- Month of publication
- March
- Year of publication
- 2020
- URL
-
-
- Supplementary information
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-
- 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
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6
- Research group(s)
-
-
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presents a novel and practical framework for exploiting fuzzy-rough information to enhance mammogram processing. Published in the leading applied soft computing outlet, this work demonstrates great potential for the usage of granular computing to support computer aided diagnosis. It has already attracted funding from EU and Welsh government for continued research and led to a special issue on ‘Fuzzy inference, neuro-fuzzy, and emerging fuzzy hybridization systems’ in the leading journal Neural Computing and Applications, with Qu being a guest editor.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
