Microwave Breast Imaging Via Deep Learning

The proposed paper investigates the use of deep learning schemes to perform fast quantitative microwave imaging in the framework of breast cancer detection to support medical decisions. Nowadays, Conventional approaches have some drawbacks related to patient's safety, processing time and cost,...

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Bibliographic Details
Main Authors: Ambrosanio, M., Autorino, M. M., Franceschini, S., Baselice, F., Pascazio, V.
Format: Conference Proceeding
Language:English
Subjects:
breast imaging
Deep learning
electromagnetic inverse scattering
Microwave theory and techniques
Microwave tomography
Minimization
neural networks
Noise measurement
Phantoms
Real-time systems
Safety
Online Access:Request full text
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Summary:The proposed paper investigates the use of deep learning schemes to perform fast quantitative microwave imaging in the framework of breast cancer detection to support medical decisions. Nowadays, Conventional approaches have some drawbacks related to patient's safety, processing time and cost, and in this framework microwave imaging can represent a valid alternative due to the use of non-ionising radiations and its affordability. In this framework, deep learning can considerably speed up the inversion procedure, making three-dimensional imaging more convenient and manageable for future perspective.
ISSN:1945-8452
DOI:10.1109/ISBI52829.2022.9761470