“…Authors in [20] took the idea of the fCNN one step further and proposed the UNet architecture, comprising a 'regular' fCNN followed by an up-sampling part where 'up'-convolutions are used to increase the image size, coined contractive and expansive paths [29]. Another popular model is the recently developed segmentation network, high-resolution network (HRNet) [22] as shown in Fig. 8.…”