Deep convolutional neural network designed for age assessment based on orthopantomography data
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 082-208982-15045
- Type
- D - Journal article
- DOI
-
10.1007/s00521-019-04449-6
- Title of journal
- Neural Computing And Applications
- Article number
- -
- First page
- 9357
- Volume
- 2019
- Issue
- -
- ISSN
- 0941-0643
- Open access status
- Not compliant
- Month of publication
- August
- Year of publication
- 2019
- 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
-
4
- Research group(s)
-
1 - Artificial Intelligence (AI)
- Citation count
- 9
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The study was supported and funded by the Faculty of Dentistry at the Universiti Sains Islam Malaysia (Grant No: PPP/UTG-0123/ FST/30/12213) from 2013-2016 and the Centre for Artificial Intelligence Technology at the National University of Malaysia (Grant No: DIP-2016- 018) from 2016-2018. Further collaborations is currently underway with both centres.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
