Intelligent image-based colourimetric tests using machine learning framework for lateral flow assays
- Submitting institution
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Anglia Ruskin University Higher Education Corporation
- Unit of assessment
- 12 - Engineering
- Output identifier
- 319
- Type
- D - Journal article
- DOI
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10.1016/j.eswa.2019.112843
- Title of journal
- Expert Systems with Applications
- Article number
- 112843
- First page
- 112843
- Volume
- 139
- Issue
- -
- ISSN
- 0957-4174
- Open access status
- Compliant
- Month of publication
- July
- 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
- Yes
- Number of additional authors
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5
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Funded through the Erasmus Mundus FUSION project 2013-3254 1/001001, the work demonstrates a method that mimics the human vision to interpret an assay and can be used for a wide range of applications such as medical diagnosis, environmental monitoring, drug detection, food industry, forensic science. Clinical application to tuberculosis testing has been investigated with healthcare providers in Malaysia.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -