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
1 Pith paper cite this work, alongside 74 external citations. Polarity classification is still indexing.
1
Pith paper citing it
74
external citations · OpenAlex
fields
q-bio.QM 1years
2019 1verdicts
REJECT 1representative citing papers
citing papers explorer
-
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.