Abstract
One of the most promising alternative imaging modalities for breast cancer detection involved the use of microwave radar systems. A critical component of any radar-based imaging system for breast cancer detection is the early-stage artifact removal algorithm. Many existing artifact removal algorithms are based on simplifying assumptions about the degree of commonality in the artifact across all channels. However, several real-world clinical scenarios could result in greater variation in the early-stage artifact, making the artifact removal process much more difficult. In this study, a range of existing artifact removal algorithms, coupled with algorithms adapted from Ground Penetrating Radar applications, are compared across a range of appropriate performance metrics.
| Original language | English (Ireland) |
|---|---|
| Pages (from-to) | 185-200 |
| Number of pages | 16 |
| Journal | PROGRESS IN ELECTROMAGNETICS RESEARCH-PIER |
| Volume | 141 |
| DOIs | |
| Publication status | Published - 1 Jan 2013 |
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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