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Classification and Monitoring of Early Stage Breast Cancer using Ultra Wideband Radar

Authors:
Marggie Jones
Dallan Byrne
Brian McGinley
Fearghal Morgan
Martin Glavin
Edward Jones
Raquel Conceicao
Martin O'Halloran

Keywords: Breast Cancer; Classification; radar

Abstract:
This paper presents a novel Self-Organising Map for breast cancer classification and monitoring, based on Microwave/Ultra Wideband radar imaging. This approach has the potential to help clinicians to differentiate and track the development of a tumour from a benign state to different levels of malignancy based on their Radar Target Signature (RTS). Many existing studies have investigated the use of the RTS of a tumour to classify breast cancer as either benign or malignant, based on the fact that the RTS of a tumour is dependent on tumour shape, size and surface texture. In this paper, a self-organising (Kohonen) map is applied to the salient features of the tumour RTSs, developing a twodimensional “MammoMap”, where the various regions of the map correspond to the characteristics (benign or malignant) of the tumour, potentially allowing for the allowing for the classification and monitoring of tumour growth.

Pages: 46 to 51

Copyright: Copyright (c) IARIA, 2013

Publication date: January 27, 2013

Published in: conference

ISSN: 2308-4243

ISBN: 978-1-61208-246-2

Location: Seville, Spain

Dates: from January 27, 2013 to February 1, 2013