Predicting Final Extent of Ischemic Infarction Using Artificial Neural Network Analysis of Multi-Parametric MRI in Patients with Stroke
Figure 5
ROC curve (AUROC = 0.89) for the trained ANN (4∶3∶3∶1).
As shown in this Figure, the optimal sensitivity and specificity of the ANN are calculated at the half angle and ROC curve intercept point (Point Opt.; Specificity Optimal = 0.84, Sensitivity Optimal = 0.85) which implies that the ANN can predict lesion and tissue with a sensitivity of 85% and a specificity of the 84%.