Combination of 3D skin surface texture features and 2D ABCD features for improved melanoma diagnosis
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 12 - Engineering
- Output identifier
- 805011
- Type
- D - Journal article
- DOI
-
10.1007/s11517-015-1281-z
- Title of journal
- Medical and Biological Engineering and Computing
- Article number
- -
- First page
- 961
- Volume
- 53
- Issue
- 10
- ISSN
- 0140-0118
- Open access status
- Out of scope for open access requirements
- Month of publication
- May
- Year of publication
- 2015
- URL
-
http://dx.doi.org/10.1007/s11517-015-1281-z
- 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
-
4
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This research involved use of the UWE Skin Analyser with 1,000 NHS patients, in collaboration with two surgeons at North Bristol NHS Trust. The work led to grant awards to author L. Smith from various sources, including NHS Seed Funding for mole watching, a UWE Staff Enterprise award, and a Cancer Research UK Grant Award (C37892/A30037). The paper formed the basis of an intensive effort to commercialise the Skin Analyser, which has resulted in a company being set up (CutisCare Limited) and a US patent application (number 16/091550 filed on 11/4/2019).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
