Deep learning-based prediction of mandibular growth trend in children with anterior crossbite using cephalometric radiographs

Table 1 Performance of the deep learning model and the junior orthodontists

	Accuracy (%)	TPR	FNR	FPR	TNR	AUC
The deep learning model	85	0.95	0.05	0.25	0.75	0.9775
The junior orthodontists (mean value)	54.2	0.62	0.38	0.53	0.47	/
Orthodontist 1	57.5	0.8	0.2	0.65	0.35	/
Orthodontist 2	50	0.45	0.55	0.45	0.55	/
Orthodontist 3	55	0.6	0.4	0.5	0.5	/

TPR true positive rate (sensitivity), FNR false negative rate, FPR false positive rate, TNR true negative rate (specificity), AUC area under the curve

ISSN: 1472-6831