Graph theory for feature extraction and classification: a migraine pathology case study.

Abstract

Graph theory is also widely used as a representational form and characterization of brain connectivity network, as is machine learning for classifying groups depending on the features extracted from images. Many of these studies use different techniques, such as preprocessing, correlations, features or algorithms. This paper proposes an automatic tool to… (More)
DOI: 10.3233/BME-141118

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Cite this paper

@article{JorgeHernandez2014GraphTF, title={Graph theory for feature extraction and classification: a migraine pathology case study.}, author={Fernando Jorge-Hernandez and Yolanda Garc{\'i}a Chimeno and Begonya Garcia-Zapirain and Alberto Cabrera Zubizarreta and Mar{\'i}a {\'A}ngeles G{\'o}mez Beldarra{\'i}n and Begonya Fernandez-Ruanova}, journal={Bio-medical materials and engineering}, year={2014}, volume={24 6}, pages={2979-86} }