Automatic 2-D/3-D Vessel Enhancement in Multiple Modality Images Using a Weighted Symmetry Filter
- Submitting institution
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Aberystwyth University / Prifysgol Aberystwyth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 41224454
- Type
- D - Journal article
- DOI
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10.1109/TMI.2017.2756073
- Title of journal
- IEEE Transactions on Medical Imaging
- Article number
- 8049478
- First page
- 438
- Volume
- 37
- Issue
- 2
- ISSN
- 0278-0062
- Open access status
- Compliant
- Month of publication
- September
- Year of publication
- 2017
- URL
-
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- Supplementary information
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- 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
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8
- Research group(s)
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-
- Citation count
- 32
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Presents an innovative universal tool for the analysis of vascular structures in medical images involving different modalities. Published in the top journal for medical image modelling and analysis, it has motivated a good number of further developments, by researchers associated with world-leading groups (e.g., at: U. Dayton; Institute for Infocomm Research, CAS; U. Southern California; U.Maryland; and PARC).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -