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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Detalles Bibliográficos
Autores principales: Ambrosanio, Michele, Franceschini, Stefano, Pascazio, Vito, Baselice, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687617/
https://www.ncbi.nlm.nih.gov/pubmed/36354562
http://dx.doi.org/10.3390/bioengineering9110651

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9687617/
https://www.ncbi.nlm.nih.gov/pubmed/36354562
http://dx.doi.org/10.3390/bioengineering9110651

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