Automated Mesiodens Detection with Deep-Learning-Based System Using Cone-Beam Computed Tomography Images

Figure 4

The ROC curve is plotted based on the ROC area with the TPR on the y-axis and the FPR on the x-axis. Ranging from 0 to 1, the area under the ROC curve (AUC) is a common measure of classifier performance. A higher AUC indicates better model segmentation performance. The model shows high performance with an AUC value of 0.914.