Abstract
By using anatomically accurate models, the potential to improve microwave imaging as a detection and classification technique for breast cancer is very promising. This paper proposes a novel, clinically-informed approach to 3D modelling of breast tumours that significantly enhances flexibility in setting tumour parameters compared to existing approaches.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE Antennas and Propagation Society International Symposium(APSURSI) |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 1143-1144 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781479935406 |
| DOIs | |
| Publication status | Published - 18 Sept 2014 |
| Event | 2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014 - Memphis, United States Duration: 6 Jul 2014 → 11 Jul 2014 |
Publication series
| Name | IEEE Antennas and Propagation Society, AP-S International Symposium (Digest) |
|---|---|
| ISSN (Print) | 1522-3965 |
Conference
| Conference | 2014 IEEE Antennas and Propagation Society International Symposium, APSURSI 2014 |
|---|---|
| Country/Territory | United States |
| City | Memphis |
| Period | 6/07/14 → 11/07/14 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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