Breast density classification in mammograms: An investigation of encoding techniques in binary-based local patterns
- Submitting institution
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University of Ulster
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 85800648
- Type
- D - Journal article
- DOI
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10.1016/j.compbiomed.2020.103842
- Title of journal
- Computers in Biology and Medicine
- Article number
- 103842
- First page
- -
- Volume
- 122
- Issue
- -
- ISSN
- 0010-4825
- Open access status
- Compliant
- Month of publication
- June
- 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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3
- Research group(s)
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C - Pervasive Computing Research Centre
- Citation count
- 0
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- <23> This research was undertaken within the Horizon2020 project DESIREE (Grant No. 690238, 02/2016-07/2019) on the development of a Decision Support System for breast cancer diagnosis and management. The paper is an extension of work that underpinned one of the key project deliverables (D3.1 Report on Breast Segmentation and Characterisation). The underlying algorithm has been implemented in a prototype DESIREE system being clinically tested for adoption in Breast Units.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -