Bagged textural and color features for melanoma skin cancer detection in dermoscopic and standard images
- Submitting institution
-
University of Northumbria at Newcastle
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 22062883
- Type
- D - Journal article
- DOI
-
10.1016/j.eswa.2017.08.010
- Title of journal
- Expert Systems with Applications
- Article number
- -
- First page
- 101
- Volume
- 90
- Issue
- -
- ISSN
- 0957-4174
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- 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
- No
- Number of additional authors
-
1
- Research group(s)
-
E - Intelligent Systems Research Group (iSRG)
- Citation count
- 12
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The proposed features in this paper for melanoma skin cancer detection (i.e., Colour histograms and HOG) have been adopted in a recent project supported by the ESF in “Science without borders” project, Ref: CZ.02.2.69/0.0/0.0/16_027/0008463 within the Operational Programme Research, Development and Education (See https://link.springer.com/chapter/10.1007/978-3-030-14118-9_70)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
