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

Figure 3

Precision-recall curve for mesiodens segmentation. Diagrams of the precision-recall curve. Recall is the percentage of cases with positive labels that produce a positive expected result, whereas precision measures the percentage of observations with a positive predicted value that is actually positive. An excellent segmentation model will have a PRC that passes through the upper right corner (corresponding to 100% precision and 100% recall). The PRC of this model is close to the upper right corner, indicating a near-perfect performance.