TABLE 2. Performance Comparison of Various Classifiers’ Sensitivity, Specificity, AUROC, FPs/Scan, and Classification Time.

Classifiers	Total Cases	Total Nodules	Sensitivity	Specificity	AUROC	FPs/Scan	Time (sec)	Classes
CNN [12]	800	1738	0.796	0.68	0.7928	3.63	179.5	Malignant
MTANNs [33]	120	493	0.865	0.71	0.8355	2.62	128.6	Malignant & Benign
FCN [13]	300	893	0.911	0.83	0.8864	3.16	69.75	Malignant & Benign
Autoencoder [10]	495	1010	0.731	0.85	0.86	3.11	0.01	Malignant & Benign
Massive-Feat [9]	880	1243	0.870	0.78	0.89	3.43	32.76	Malignant & Benign
MC-CNN [14]	340	825	0.773	0.93	0.93	2.97	0.23	Malignant & Benign
Proposed 3DDCNN	1190	2361	0.984	0.92	0.96	3.39	0.011	Malignant & Benign
Proposed 3DDCNN (with mRPN)	1190	2361	0.991	0.94	0.9743	2.10	0.025	Malignant & Benign