Convex Non-Negative Matrix Factorization for Brain Tumor Delimitation from MRSI Data

Pattern Recognition techniques can provide invaluable insights in the field of neuro-oncology. This is because the clinical analysis of brain tumors requires the use of non-invasive methods that generate complex data in electronic format. Magnetic Resonance (MR), in the modalities of spectroscopy (M...

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Veröffentlicht in:	PloS one Jg. 7; H. 10; S. e47824
Hauptverfasser:	Ortega-Martorell, Sandra, Lisboa, Paulo J. G., Vellido, Alfredo, Simões, Rui V., Pumarola, Martí, Julià-Sapé, Margarida, Arús, Carles
Format:	Journal Article Verlag
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 23.10.2012 Public Library of Science (PLoS)
Schlagworte:	Animals Aplicacions de la informàtica Bioinformatics Bioinformàtica Biology Brain Brain cancer Brain Neoplasms - pathology Brain tumors Cervell Data processing Factorization Glioblastoma - pathology Heterogeneity Histopathology Informàtica Magnetic resonance Magnetic Resonance Imaging - methods Magnetic Resonance Spectroscopy - methods Mathematics Medicine Metabolites Mice Models, Biological Neuroimaging NMR Nuclear magnetic resonance Oncology Pattern recognition Pattern Recognition, Automated - methods Sensitivity and Specificity Signal processing Solid tumors Spectroscopy Spectrum analysis Tumors Àrees temàtiques de la UPC New York United States > US Spain
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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