On the Role of Training Data for SVM-Based Microwave Brain Stroke Detection and Classification

The aim of this work was to test microwave brain stroke detection and classification using support vector machines (SVMs). We tested how the nature and variability of training data and system parameters impact the achieved classification accuracy. Using experimentally verified numerical models, a la...

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Detalles Bibliográficos
Autores principales: Pokorny, Tomas, Vrba, Jan, Fiser, Ondrej, Vrba, David, Drizdal, Tomas, Novak, Marek, Tosi, Luca, Polo, Alessandro, Salucci, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962620/
https://www.ncbi.nlm.nih.gov/pubmed/36850630
http://dx.doi.org/10.3390/s23042031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9962620/
https://www.ncbi.nlm.nih.gov/pubmed/36850630
http://dx.doi.org/10.3390/s23042031

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