. 2017 Jun 29;1:10. doi: 10.1186/s41747-017-0007-4

Table 3.

Performance obtained by the proposed methods on the testing set

Classifier	Segmentation	Sensitivity (%)	Specificity (%)	PPV (%)	NPV (%)	Accuracy (%)	p value^a
Bayesian classifier using dynamic features	Manual	92.3 (24/26)	81.8 (18/22)	85.7 (24/28)	90.0 (18/20)	87.5	0.04
Bayesian classifier using dynamic features	Automatic	88.5 (23/26)	68.2 (15/22)	76.7 (23/30)	83.3 (15/18)	79.2	0.04
Decision tree classifier using morphological features	Manual	92.3 (24/26)	77.3 (17/22)	82.8 (24/29)	89.5 (17/19)	85.4	0.02
Decision tree classifier using morphological features	Automatic	76.9 (20/26)	40.9 (9/22)	60.6 (20/33)	60.0 (9/15)	60.4

PPV positive predictive value, NPV negative predictive value

^aMcNemar test