A robust and artifact resistant algorithm of ultrawideband imaging system for breast cancer detection
- Submitting institution
-
University of Sussex
- Unit of assessment
- 12 - Engineering
- Output identifier
- 8055_59346
- Type
- D - Journal article
- DOI
-
10.1109/TBME.2015.2393256
- Title of journal
- IEEE Transactions on Biomedical Engineering
- Article number
- -
- First page
- 1514
- Volume
- 62
- Issue
- 6
- ISSN
- 0018-9294
- Open access status
- Out of scope for open access requirements
- Month of publication
- January
- Year of publication
- 2015
- URL
-
https://doi.org/10.1109/TBME.2015.2393256
- 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
-
2
- Research group(s)
-
-
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In this paper, a new Robust and Artefact Resistant (RAR) algorithm for early breast cancer detection is introduced to overcome the adverse effects from artefact and glandular tissues. Extensive analyses using 3D anatomically and dielectrically accurate numerical breast models were conducted. Results showed superior tumour identification, accurate localization, and strong artefact resistance. Simulated tumours in both homogeneous and heterogonous, from mildly to moderately dense breast phantoms were successfully identified and localized. These results showed the strong potential of RAR for breast cancer screening and led to further practical developments in a comprehensive PhD thesis commended by external examiners and citations.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
