• DocumentCode
    611294
  • Title

    Novel multimodal PEM-UWB approach for breast cancer detection: Initial study for tumour detection and consequent classification

  • Author

    Conceicao, R C ; Capote, R M ; Oliveira, B L ; Almeida, P ; Glavin, M ; Jones, E ; O´Halloran, M

  • Author_Institution
    Universidade de Lisboa, Faculdade de Ciências, (FCUL), Instituto de Biofísica e Engenharia Biomédica (IBEB), Portugal
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    630
  • Lastpage
    634
  • Abstract
    A novel multimodal imaging approach for breast cancer detection is studied in terms of its detection and classification capabilities in a simple homogeneous breast model. The study comprises three stages: i) realistic breast and tumour numerical models are adapted so that they can be simultaneously used in both Positron Emission Mammography (PEM) and Ultra WideBand (UWB) radar; ii) the accuracy of each technique in identifying the correct location of breast cancer within the breast is compared; and iii) UWB will be used to classify tumours at the location found in stage ii).
  • Keywords
    Accuracy; Classification algorithms; Logic gates; Principal component analysis; Positron Emission Mammography (PEM); Ultra WideBand (UWB) radar; breast cancer imaging; detection and classification; machine learning;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Antennas and Propagation (EuCAP), 2013 7th European Conference on
  • Conference_Location
    Gothenburg
  • Print_ISBN
    978-1-4673-2187-7
  • Electronic_ISBN
    978-88-907018-1-8
  • Type

    conf

  • Filename
    6546350