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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| 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 |