Brain Stroke Classification via Machine Learning Algorithms Trained with a Linearized Scattering Operator

This paper proposes an efficient and fast method to create large datasets for machine learning algorithms applied to brain stroke classification via microwave imaging systems. The proposed method is based on the distorted Born approximation and linearization of the scattering operator, in order to m...

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Detalles Bibliográficos
Autores principales: Mariano, Valeria, Tobon Vasquez, Jorge A., Casu, Mario R., Vipiana, Francesca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818173/
https://www.ncbi.nlm.nih.gov/pubmed/36611315
http://dx.doi.org/10.3390/diagnostics13010023

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9818173/
https://www.ncbi.nlm.nih.gov/pubmed/36611315
http://dx.doi.org/10.3390/diagnostics13010023

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