Imaging and classification of breast cancer with multimodal PEM-UWB techniques

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

Abstract

A multimodal medical imaging technique is proposed to improve breast cancer diagnosis. Initial studies are being pursued in order to optimise breast cancer detection and classification when combining Positron Emission Mammography (PEM) with Ultra Wideband (UWB) radar imaging. In this study, the same numerical breast phantom is simulated for both PEM and UWB, and detection capabilities are compared. Furthermore, small tumours are classified in terms of their shape based on their radar target signatures.

Original languageEnglish
Title of host publicationProceedings of the 2013 International Conference on Electromagnetics in Advanced Applications, ICEAA 2013
Pages421-424
Number of pages4
DOIs
Publication statusPublished - 2013
Event2013 15th International Conference on Electromagnetics in Advanced Applications, ICEAA 2013 - Turin, Italy
Duration: 9 Sep 201313 Sep 2013

Publication series

NameProceedings of the 2013 International Conference on Electromagnetics in Advanced Applications, ICEAA 2013

Conference

Conference2013 15th International Conference on Electromagnetics in Advanced Applications, ICEAA 2013
Country/TerritoryItaly
CityTurin
Period9/09/1313/09/13

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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