Conclusion SVM models based on DWI, DCE and APTW were highly significant for evaluating the expression of Ki-67 and IDH-1 mutation status in glioma.
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The application value of support vector machine model based on multimodal MRI in predicting IDH-1mutation and Ki-67 expression in glioma.
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