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PIER PIER B PIER C PIER M PIER Letters PIER Photonics
2011-08-08
Evolving Spiking Neural Network Topologies for Breast Cancer Classification in a Dielectrically Heterogeneous Breast
By
Martin O'Halloran,

    Dr. Martin O'Halloran

    Electronic and Electrical Engineering

    National University of Ireland Galway

    Ireland

    Homepage

Seamus Cawley,

    Dr. Seamus Cawley

    National University of Ireland Galway

    Ireland

    Homepage

Brian McGinley,

    Dr. Brian McGinley

    College of Engineering and Informatics

    National University of Ireland Galway

    Ireland

    Homepage

Raquel Cruz Conceicao,

    Dr. Raquel Cruz Conceicao

    Faculdade de Ciências - Universidade de Lisboa

    Instituto de Biofísica e Engenharia Biomédica

    Portugal

    Homepage

Fearghal Morgan,

    Dr. Fearghal Morgan

    College of Engineering and Informatics

    National University of Ireland Galway

    Ireland

    Homepage

Edward Jones,

    Dr. Edward Jones

    Electronic and Electrical Engineering

    National University of Ireland Galway

    Ireland

    Homepage

Martin Glavin

    Dr. Martin Glavin

    Electronic and Electrical Engineering

    National University of Ireland Galway

    Ireland

    Homepage

Progress In Electromagnetics Research Letters, Vol. 25, 153-162, 2011
doi:10.2528/PIERL11050605 | Google Scholar

Abstract
Several studies have investigated the possibility of using the Radar Target Signature (RTS) of a tumour to classify the tumour as either benign or malignant, since the RTS has been shown to be influenced by the size, shape and surface texture of tumours. The Evolved-Topology Spiking Neural Neural (SNN) presented here extends the use of evolutionary algorithms to determine an optimal number of neurons and interneuron connections, forming a robust and accurate Ultra Wideband Radar (UWB) breast cancer classifier. The classifier is examined using dielectrically realistic numerical breast models, and the performance of the classifier is compared to an existing Fixed-Topology SNN cancer classifier.
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Citation
Martin O'Halloran, Seamus Cawley, Brian McGinley, Raquel Cruz Conceicao, Fearghal Morgan, Edward Jones, and Martin Glavin, "Evolving Spiking Neural Network Topologies for Breast Cancer Classification in a Dielectrically Heterogeneous Breast," Progress In Electromagnetics Research Letters, Vol. 25, 153-162, 2011.
doi:10.2528/PIERL11050605
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