A novel and fully automated mammographic texture analysis for risk prediction : results from two case-control studies
- Submitting institution
-
Kingston University
- Unit of assessment
- 3 - Allied Health Professions, Dentistry, Nursing and Pharmacy
- Output identifier
- 03-206-581
- Type
- D - Journal article
- DOI
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10.1186/s13058-017-0906-6
- Title of journal
- Breast Cancer Research
- Article number
- -
- First page
- 1
- Volume
- 19
- Issue
- -
- ISSN
- 1465-5411
- Open access status
- Compliant
- Month of publication
- -
- 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
-
-
- Research group(s)
-
-
- Citation count
- 21
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
