A k-NN classifier on multiparametric MRI voxels produces tissue composition estimates that associate with glioma grade and survival, but only in the same cohort used to train the classifier.
Utility of multiparametr ic 3 -T MRI for glioma characterization
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Predicted disease compositions of human gliomas estimated from multiparametric MRI can predict endothelial proliferation, tumor grade, and overall survival
A k-NN classifier on multiparametric MRI voxels produces tissue composition estimates that associate with glioma grade and survival, but only in the same cohort used to train the classifier.