Table 2.

Tooth-related disease detection results.

Model, diseases		Precision	Sensitivity	Specificity
Fast region-based convolutional network
	Coronal caries or defect	0.785	0.708	0.982
	Proximal caries	0.484	0.792	0.918
	Cervical caries or abrasion	0.795	0.767	0.952
	Periapical radiolucency	0.824	0.953	0.895
	Residual root	0.640	0.904	0.972
Inception
	Coronal caries or defect	0.253	0.609	0.848
	Proximal caries	0.327	0.783	0.883
	Cervical caries or abrasion	0.444	0.707	0.785
	Periapical radiolucency	0.371	0.946	0.556
	Residual root	0.232	0.893	0.873
Residual neural network
	Coronal caries or defect	0.2101	0.395	0.876
	Proximal caries	0.685	0.377	0.987
	Cervical caries or abrasion	0.378	0.011	0.996
	Periapical radiolucency	0.308	0.883	0.451
	Residual root	0.225	0.744	0.89