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

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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Bibliographic Details
Main Authors: Tomas Pokorny, Jan Vrba, Ondrej Fiser, David Vrba, Tomas Drizdal, Marek Novak, Luca Tosi, Alessandro Polo, Marco Salucci
Format: Article
Language:English
Published: MDPI AG 2023-02-01
Series:Sensors
Subjects:
SVM
brain stroke
microwave devices
numerical model
Online Access:https://www.mdpi.com/1424-8220/23/4/2031

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