Automatic identification of the optimal reference frame for segmentation and quantification of focal liver lesions in contrast-enhanced ultrasound
- Submitting institution
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Kingston University
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11-25-1386
- Type
- D - Journal article
- DOI
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10.1016/j.ultrasmedbio.2017.06.005
- Title of journal
- Ultrasound in Medicine & Biology
- Article number
- -
- First page
- 2438
- Volume
- 43
- Issue
- -
- ISSN
- 0301-5629
- 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
- 5
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Although Contrast-Enhanced Ultrasound (CEUS) is a fast new imaging technology that acquired FDA approval for the characterisation of liver lesions in 2016, clinicians find it difficult to use as they need to inspect video sequences. The research reported in this paper, conducted in collaborations with UK and Greek clinicians, is important as it provides a software tool that can significantly improve the experience of the clinicians, by automatically identifying the most informative frame in a CEUS video sequence.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -