Table 5. A comparison between the classification scores obtained by the DL, HC feature fusion, and the FUSI-CAD system.

	Accuracy (std)(95% Confidence Interval)	AUC (std) (95% Confidence Interval)	Sensitivity (std) (95% Confidence Interval)	Specificity (std) (95% Confidence Interval)	Precision (std) (95% Confidence Interval)	F1 score (std) (95% Confidence Interval)	DOR (std) (95% Confidence Interval)
DL FUSION	98.6%	1.00	0.981	0.99	0.99	0.986	4,851
	(0.001)	(0)	(0.001)	(0)	(0)	(0)	(0)
	[0.985–0.986]	[1–1]	[0.981–0.981]	[0.99–0.99]	[0.99–0.99]	[0.986–0.986]	[4,851–4,851]
HC FUSION	98%	0.995	0.976	0.984	0.984	0.98	2,846.455
	(0.003)	(0.006)	(0.006)	(0.006)	(0.006)	(0.005)	(1,607.139)
	[0.978–0.981]	[0.992–0.997]	[0.973–0.978]	[0.981–0.986]	[0.981–0.986]	[0.977–0.983]	[1,968.2–3,724.7]
FUSI-CAD	99%	1.00	0.99	0.99	0.99	0.99	9,801
	(0.002)	(0)	(0)	(0)	(0)	(0)	(0)
	[0.988–0.991]	[1–1]	[0.99–0.99]	[0.99–0.99]	[0.99–0.99]	[0.99–0.99]	[9,801–9,801]

Note:

Bold values indicate the highest results.