Discriminant Convex Non-negative Matrix Factorization for the classification of human brain tumours

•Brain tumours can be diagnosed on the basis of magnetic resonance spectroscopy (MRS).•A new method to introduce class information into a convex variant of NMF is presented.•Novel techniques for diagnostic predictions of unseen MRS are described.•The new method and techniques are experimentally asse...

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Bibliographic Details

Published in:	Pattern recognition letters Vol. 34; no. 14; pp. 1734 - 1747
Main Authors:	Vilamala, Albert, Lisboa, Paulo J.G., Ortega-Martorell, Sandra, Vellido, Alfredo
Format:	Journal Article Publication
Language:	English
Published:	Elsevier B.V 15.10.2013
Subjects:	Aplicacions de la informàtica Bioinformàtica Brain tumours Diagnosis Discriminant Convex Non-negative Matrix Factorization Informàtica Magnetic resonance spectroscopy Models matemàtics Source separation Tumors Àrees temàtiques de la UPC Magnetic resonance spectroscopy Discriminant Convex Non-negative Matrix Factorization Source separation Brain tumours
ISSN:	0167-8655, 1872-7344
Online Access:	Get full text
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