Figure 2.

U-Net and Y-Net architectures. Y-Net jointly estimates the dense-tissue mask and the segmentation parameters ($\alpha$ and $t{h}_F$) needed to segment the dense tissue with a threshold-based tool. The channel width (w), kernel (k) and the stride (s) size for each layer are shown for the parallel branch incorporated in Y-Net.