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

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

Network IDNumber of layers per encoderNumber of convolutional filters per layerLearner
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
  1. Each layer is a sequence of a convolutional layer, a batch normalization layer and a ReLu layer