A Bayesian nonparametric approach to tumor detection using UWB imaging
We develop a tumor detection and discrimination algorithm for Ultra-Wideband (UWB) microwave imaging of breast cancer based on a Bayesian nonparametric approach. We model the UWB backscattered signal as a mixture of distinct scatterer contributions, and use a Dirichlet Process mixture model (DPMM) t...
Saved in:
Main Authors: | , , , |
---|---|
其他作者: | |
格式: | Conference or Workshop Item |
語言: | English |
出版: |
2013
|
在線閱讀: | https://hdl.handle.net/10356/99490 http://hdl.handle.net/10220/12892 |
標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
機構: | Nanyang Technological University |
語言: | English |
成為第一個發表評論!