Automated differentiation of glioblastomas from intracranial metastases using 3T MR spectroscopic and perfusion data
PurposeDifferentiation of glioblastomas from metastases is clinical important, but may be difficult even for expert observers. To investigate the contribution of machine learning algorithms in the differentiation of glioblastomas multiforme (GB) from metastases, we developed and tested a pattern recognition system based on 3T magnetic resonance (MR) data.
glioblastoma pattern recognition classification dsc-mri 1h-mrs knn metastasis nave bayes svm