Fig. 7

AUC-ROC curve diagram of classification of AD vs CN for Aβ clusters 1–4 compared to and combined with other methods (A). The blue ROC curve is created by a combination of 6 features (Aβ clusters 1–4, GM voxels positive and GM mean SUVr) using SVM. The red ROC curve us created by the de novo Aβ clusters 1–4 using SVM. The dashed line ROC curve is a composite SUVr, and the green line is 2 features of GM voxels positive and GM mean SUVr using linear regression. Confusion matrices (B) with percentages for the corresponding ROC curves are on the right panel. These show the percentage of AD and CN individuals correctly predicted (blue) and incorrectly predicted (orange) for each method