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.
Molecular imaging of diffuse low grade glioma
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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.