Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status.

Background: Combining MRI techniques with machine learning methodology is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such a framework applied to dynamic susceptibility contrast (DSC)-MRI in classifying treatment-naïve gli...

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Publicado en:	BMC Medical Informatics & Decision Making Vol. 20; no. 1; pp. 1 - 15
Autores principales:	Sudre, Carole H., Panovska-Griffiths, Jasmina, Sanverdi, Eser, Brandner, Sebastian, Katsaros, Vasileios K., Stranjalis, George, Pizzini, Francesca B., Ghimenton, Claudio, Surlan-Popovic, Katarina, Avsenik, Jernej, Spampinato, Maria Vittoria, Nigro, Mario, Chatterjee, Arindam R., Attye, Arnaud, Grand, Sylvie, Krainik, Alexandre, Anzalone, Nicoletta, Conte, Gian Marco, Romeo, Valeria, Ugga, Lorenzo
Formato:	research Journal Article
Publicado:	BioMed Central 7/6/2020
Acceso en línea:	Ver este registro en EBSCOhost