Classification of Benign and Malignant Lung Nodules Based on Deep Convolutional Network Feature Extraction

Table 1

Network parameter configuration.

Layers	Input			Kernel number	Kernel size	Stride	Pad	Output
	W	H	D					W	H	D
Input								28	28	1
conv1	28	28	1	6	5	1	0	24	24	6
cccp1	24	24	6	6	1	1	0	24	24	6
cccp2	24	24	6	6	1	1	0	24	24	6
maxpool1	24	24	6		2	2	0	12	12	6
conv2	12	12	6	12	5	1	0	8	8	12
cccp3	8	8	12	12	1	1	0	8	8	12
cccp4	8	8	12	12	1	1	0	8	8	12
avgpool2	8	8	12		2	2	0	4	4	12
conv3	4	4	24	24	4	1	0	1	1	24
cccp5	1	1	24	24	1	1	0	1	1	24
cccp6	1	1	24	2	1	1	0	1	1	2
Avgpool3	1	1	2		2	2	0	1	1	2
Softmax-loss	1	1	2					1	1	2