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. 2022 May 25;14(11):2623. doi: 10.3390/cancers14112623

Figure 1.

Figure 1

Characteristic workflow for developing ML glioma grade prediction models. VASARI = Visually AcceSAble Rembrandt Images, AUC = area under the curve receiver operating characteristic, CNN = convolutional neural network, ML = machine learning, NPV = negative predictive value, PPV = positive predictive value, and SVM = support vector machine.