Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection

In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumor detection is presented. The aim of this technique is to retrieve the geometric and dielectric properties of the neck to identify the possible presence of tumors, starting from scattered electric fie...

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Autores principales: Chiara Dachena, Alessandro Fedeli, Alessandro Fanti, Matteo Bruno Lodi, Giorgio Fumera, Andrea Randazzo, Matteo Pastorino
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Lenguaje:EN
Publicado: IEEE 2021
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Acceso en línea:https://doaj.org/article/6be3ec927c5744a3ad968969b391a66b
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spelling oai:doaj.org-article:6be3ec927c5744a3ad968969b391a66b2021-11-03T23:00:14ZMicrowave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection2637-643110.1109/OJAP.2021.3121177https://doaj.org/article/6be3ec927c5744a3ad968969b391a66b2021-01-01T00:00:00Zhttps://ieeexplore.ieee.org/document/9580452/https://doaj.org/toc/2637-6431In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumor detection is presented. The aim of this technique is to retrieve the geometric and dielectric properties of the neck to identify the possible presence of tumors, starting from scattered electric field data. A fully-connected neural network is developed to test the feasibility of the proposed approach. Moreover, a numerical model including the main features of a cross section of the neck is specifically designed in order to create a suitable training dataset. Subsequently, for the optimization of the ANN architecture and performance evaluation, a numerical analysis is conducted. A set of simulated cases, based on realistic neck phantoms, is tested to evaluate the robustness of the network. Preliminary results show the possibility to identify and locate neck tumors.Chiara DachenaAlessandro FedeliAlessandro FantiMatteo Bruno LodiGiorgio FumeraAndrea RandazzoMatteo PastorinoIEEEarticleMicrowave imagingneck tumorsartificial neural networksbiomedical imagingmachine learninginverse scatteringTelecommunicationTK5101-6720ENIEEE Open Journal of Antennas and Propagation, Vol 2, Pp 1044-1056 (2021)
institution DOAJ
collection DOAJ
language EN
topic Microwave imaging
neck tumors
artificial neural networks
biomedical imaging
machine learning
inverse scattering
Telecommunication
TK5101-6720
spellingShingle Microwave imaging
neck tumors
artificial neural networks
biomedical imaging
machine learning
inverse scattering
Telecommunication
TK5101-6720
Chiara Dachena
Alessandro Fedeli
Alessandro Fanti
Matteo Bruno Lodi
Giorgio Fumera
Andrea Randazzo
Matteo Pastorino
Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection
description In this paper, a microwave imaging approach based on artificial neural networks (ANNs) for neck tumor detection is presented. The aim of this technique is to retrieve the geometric and dielectric properties of the neck to identify the possible presence of tumors, starting from scattered electric field data. A fully-connected neural network is developed to test the feasibility of the proposed approach. Moreover, a numerical model including the main features of a cross section of the neck is specifically designed in order to create a suitable training dataset. Subsequently, for the optimization of the ANN architecture and performance evaluation, a numerical analysis is conducted. A set of simulated cases, based on realistic neck phantoms, is tested to evaluate the robustness of the network. Preliminary results show the possibility to identify and locate neck tumors.
format article
author Chiara Dachena
Alessandro Fedeli
Alessandro Fanti
Matteo Bruno Lodi
Giorgio Fumera
Andrea Randazzo
Matteo Pastorino
author_facet Chiara Dachena
Alessandro Fedeli
Alessandro Fanti
Matteo Bruno Lodi
Giorgio Fumera
Andrea Randazzo
Matteo Pastorino
author_sort Chiara Dachena
title Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection
title_short Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection
title_full Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection
title_fullStr Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection
title_full_unstemmed Microwave Imaging of the Neck by Means of Artificial Neural Networks for Tumor Detection
title_sort microwave imaging of the neck by means of artificial neural networks for tumor detection
publisher IEEE
publishDate 2021
url https://doaj.org/article/6be3ec927c5744a3ad968969b391a66b
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