Classification of Computed Tomography Images in Different Slice Positions Using Deep Learning

Table 4

Recall, precision, and F-measure for each class in AlexNet and GoogLeNet.

	Recall		Precision		F-measure
	AlexNet	GoogLeNet	AlexNet	GoogLeNet	AlexNet	GoogLeNet
Brain (P)	0.71	0.77	0.81	0.80	0.74	0.78
Brain (CE)	0.77	0.79	0.72	0.70	0.73	0.73
Neck (P)	0.20	0.17	0.46	0.46	0.25	0.22
Neck (CE)	0.53	0.57	0.46	0.55	0.46	0.54
Chest (P)	0.44	0.49	0.68	0.67	0.52	0.55
Chest (CE)	0.71	0.67	0.63	0.62	0.65	0.64
Abdomen (P)	0.61	0.69	0.57	0.54	0.56	0.59
Abdomen (CE)	0.73	0.74	0.48	0.47	0.56	0.57
Pelvis (P)	0.52	0.52	0.48	0.53	0.48	0.51
Pelvis (CE)	0.42	0.40	0.52	0.60	0.44	0.47