Table 7.

Performance analysis results of the examined CNN models on gray image dataset.

Model	Val. Acc.	Rec. (TPR)	Prec. (PPV)	NPV	Spec. (TNR)	F1-Score	AROC	FNR	FPR	FOR	FDR	Mis Class. Rate
ResNet50	0.99	0.99	0.99	1	0.99	0.99	0.9997	0.01	0.01	0.01	0.01	0.01
NasNetMobile	0.985	0.99	0.9802	0.9899	0.98	0.9851	0.9983	0.01	0.02	0.0101	0.0198	0.015
MobileNetV2	0.985	0.97	1	0.9709	1	0.9847	0.9912	0.03	0	0.0291	0	0.015
InceptionV3	0.985	0.97	1	0.9709	1	0.9847	0.9999	0.03	0	0.0291	0	0.015
GoogleNet	0.985	0.98	0.9899	0.9802	0.99	0.9849	0.9997	0.02	0.01	0.0198	0.0101	0.015
VGG16	0.98	0.96	1	0.9615	1	0.9796	0.9996	0.04	0	0.0385	0	0.02
AlexNet	0.98	0.98	0.98	0.98	0.98	0.98	0.9939	0.02	0.02	0.02	0.02	0.02
DarkNet19	0.98	0.98	0.98	0.98	0.98	0.98	0.9925	0.02	0.02	0.02	0.02	0.02
Places365-GoogleNet	0.975	1	0.9523	1	0.95	0.9756	0.9942	0	0.05	0	0.0476	0.025
ResNet18	0.975	1	0.9523	1	0.95	0.9756	0.9996	0	0.05	0	0.0476	0.025
ResNet101	0.975	0.97	0.9798	0.9703	0.98	0.9749	0.9949	0.03	0.02	0.0297	0.0202	0.025
DarkNet53	0.975	0.98	0.9703	0.9798	0.97	0.9751	0.999	0.02	0.03	0.0202	0.0297	0.025
ShuffleNet	0.975	0.97	0.9798	0.9703	0.98	0.9749	0.9986	0.03	0.02	0.0297	0.0202	0.025
Xception	0.975	0.96	0.9897	0.9612	0.99	0.9746	0.9992	0.04	0.01	0.0388	0.0103	0.025
InceptionResNetV2	0.975	0.99	0.9612	0.9897	0.96	0.9754	0.9985	0.01	0.04	0.0103	0.0388	0.025
SqueezeNet	0.97	0.96	0.9796	0.9608	0.98	0.9696	0.9871	0.04	0.02	0.0392	0.0204	0.03
DenseNet201	0.97	0.96	0.9796	0.9608	0.98	0.9696	0.998	0.04	0.02	0.0392	0.0204	0.03
VGG19	0.96	0.95	0.9694	0.9509	0.97	0.9596	0.9962	0.05	0.03	0.049	0.0306	0.04
NasNetLarge	0.96	0.99	0.934	0.9894	0.93	0.9612	0.9943	0.01	0.07	0.0106	0.066	0.04