An End-to-End Deep Learning Approach for Quantitative Microwave Breast Imaging in Real-Time Applications

An End-to-End Deep Learning Approach for Quantitative Microwave Breast Imaging in Real-Time Applications

(1) Background: In this paper, an artificial neural network approach for effective and real-time quantitative microwave breast imaging is proposed. It proposes some numerical analyses for the optimization of the network architecture and the improvement of recovery performance and processing time in...

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Bibliographic Details
Main Authors: Michele Ambrosanio, Stefano Franceschini, Vito Pascazio, Fabio Baselice
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Bioengineering
Subjects:
microwave tomography
breast imaging
neural networks
artificial intelligence
electromagnetic inverse scattering
Online Access:https://www.mdpi.com/2306-5354/9/11/651

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https://www.mdpi.com/2306-5354/9/11/651

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