Figure 1.

A schematic overview of the DL network. The different blocks in the network (convolutional, reduction, and upsampling) are depicted in the right-bottom. A dense block is defined by the concatenation of several convolutional blocks: 6 in the first resolution block, 12 in the second, etc. Each convolutional layer within the convolutional blocks has a growth rate GR = 8 (feature maps created by the layer), whereas the convolutional layers within the reduction and upsampling blocks create 0.5 × GR × (number of previous convolutional blocks) feature maps.