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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...
| Autores principales: | , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| 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 |