A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images

Table 1 Configurations designed and tested for the semantic segmentation of the full image

Network ID	Number of layers per encoder	Number of convolutional filters per layer	Learner
VGG-16	[2 2 3 3 3]	[64 128 256 512 512]	ADAM
S-CNN-1	[3 2 3 3 3]	[64 128 256 512 512]	ADAM
S-CNN-2	[3 2 3 3 3]	[96 128 256 512 512]	ADAM

Each layer is a sequence of a convolutional layer, a batch normalization layer and a ReLu layer

ISSN: 1472-6947