Predictive modeling in glioma grading from MR perfusion images using support vector machines-Reference-Cited by-同舟云学术

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Predictive modeling in glioma grading from MR perfusion images using support vector machines

Published:2008-10 Issue:4 Volume:60 Page:945-952
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn. Reson. Med.

Author:

Emblem Kyrre E.,Zoellner Frank G.,Tennoe Bjorn,Nedregaard Baard,Nome Terje,Due-Tonnessen Paulina,Hald John K.,Scheie David,Bjornerud Atle

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Reference40 articles.

1. Low-grade gliomas: dynamic susceptibility-weighted contrast-enhanced perfusion MR imaging-prediction of patient clinical response;Law;Radiology,2006

2. Dynamic magnetic resonance perfusion imaging of brain tumors;Covarrubias;Oncologist,2004

3. Cerebral blood volume maps of gliomas: comparison with tumor grade and histologic findings;Aronen;Radiology,1994

4. Glial neoplasms: dynamic contrast-enhanced T2*-weighted MR imaging;Knopp;Radiology,1999

5. Relative cerebral blood volume measurements in intracranial mass lesions: interobserver and intraobserver reproducibility study;Wetzel;Radiology,2002

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