Compound W-Net with Fully Accumulative Residual Connections for Liver Segmentation Using CT Images

Table 1

Model parameters for training.

Parameters	Values
Image size
Number of epochs	10
Learning rate	1^-5
Filter size
Pooling size
Dropout rate contracting path	0.5
Dropout rate expanding path	0.4
Filters per layer