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Brain haemorrhage detection using a SVM classifier with electrical impedance tomography measurement frames
(Public Library of Science, 2018-07-12)
Brain haemorrhages often require urgent treatment with a consequent need for quick and accurate diagnosis. Therefore, in this study, we investigate Support Vector Machine (SVM) classifiers for detecting brain haemorrhages ...
Classification applied to brain haemorrhage detection: Initial phantom studies using electrical impedance measurements
(EIT2018, 2018-06-11)
Machine learning and classification algorithms are applied to data collected from an EIT system. The system is used with an anatomically accurate head phantom setup in a variety of situations modelling normal and haemorrhagic ...
Anatomically and dielectrically realistic microwave head phantom with circulation and reconfigurable lesions
(The Electromagnetics Academy, 2017)
Phantoms provide valuable test platforms for developing medical devices. Solid materials in particular allow fabrication of stable and robust models. This paper presents a novel, anatomically realistic, multi-layered head ...