A Bayesian nonparametric approach to tumor detection using UWB imaging

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...

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Bibliographic Details
Main Authors: Nijsure, Yogesh, Tay, Wee Peng, Gunawan, Erry, Yue, Joshua Lai Chong
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/99490
http://hdl.handle.net/10220/12892

Internet

https://hdl.handle.net/10356/99490
http://hdl.handle.net/10220/12892

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