A Liver Segmentation Method Based on the Fusion of VNet and WGAN

Table 1

Network parameter.

Network layer	Number of feature maps	Feature map size/pixels	Number of participants/each
Convolutional layer 1	32		896
Convolutional layer 2	32		27680
Convolutional layer 3	64		110656
Convolutional layer 4	128		442496
Convolutional layer 5	256		1769728
Convolutional layer 6	256		1769728
Deconvolution 1	512		3539456
Convolutional layer 7	256		5308672
Deconvolution 2	256		1769728
Convolutional layer 8	128		1327232
Deconvolution 3	128		442496
Convolutional layer 9	64		110656
Deconvolution 4	64		82976
Convolutional layer 10	32		82976
Deconvolution 5	64		82976
Convolutional layer 11	32		27680
Convolutional layer 12	32		55328
Fully connected layer	1		33
Total	-	-	22482273

Note: “-” means no data.