Microwave Stroke Detection and Classification Using Different Methods from MATLAB’s Classification Learner Toolbox

In this work, performance of 5 different supervised learning algorithms from MATLAB Classification learner toolbox for microwave stroke detection and classification was tested and the suitability of the algorithms were compared. For this purpose, training and test data were obtained using a 2D microwave imaging system and reconfigurable head phantom.