A Microwave Imaging Technique Based on Artificial Neural Networks for Neck Tumors Detection

Dachena, Chiara;Fedeli, Alessandro;Fanti, Alessandro;Lodi, Matteo B.;Fumera, Giorgio;Pastorino, Matteo;
2022-01-01

Abstract

A microwave imaging approach for the detection of neck tumors is proposed in this paper. Specifically, a preliminary artificial neural network (ANN) is adopted for the reconstruction of the properties of a cross section of the neck starting from scattered electric fields. To this end, realistic neck phantoms are developed to test the feasibility of the proposed method. Several test cases are performed to evaluate the performance of the ANN to discriminate different sizes of the tumor and different positions inside the neck. The preliminary results indicate quite good detection capabilities.
2022
Inglese
2022 16th European Conference on Antennas and Propagation (EuCAP)
978-88-31299-04-6
1
5
5
2022 16th European Conference on Antennas and Propagation (EuCAP)
Esperti anonimi
27 March 2022 - 01 April 2022
Madrid
scientifica
Goal 3: Good health and well-being
no
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
Dachena, Chiara; Fedeli, Alessandro; Fanti, Alessandro; Lodi, Matteo B.; Fumera, Giorgio; Pastorino, Matteo; Randazzo, Andrea
273
7
4.1 Contributo in Atti di convegno
none
info:eu-repo/semantics/conferencePaper
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