Initial Experimental Tests of an ANN-Based Microwave Imaging Technique for Neck Diagnostics

• Published in: IEEE microwave and wireless components letters Vol. 32; no. 12; pp. 1 - 4
• Main Authors: Dachena, Chiara, Fedeli, Alessandro, Fanti, Alessandro, Lodi, Matteo B., Fumera, Giorgio, Pastorino, Matteo, Randazzo, Andrea
• Format: Journal Article
• Language: English
• Published: IEEE 01.12.2022
• Subjects: Artificial neural networks (ANNs); biomedical imaging; Dielectrics; Imaging; inverse scattering; machine learning (ML); Microwave imaging; microwave imaging (MWI); Microwave theory and techniques; Neck; Phantoms; Training
• ISSN: 1531-1309; 1558-1764
• DOI: 10.1109/LMWC.2022.3194805

In this letter, a microwave imaging strategy based on an artificial neural network (ANN) is applied, for the first time, to experimental data gathered from simplified neck phantoms. The ANN is used for solving the underlying inverse scattering problem, with the aim of retrieving the dielectric prope...