Fig. 4
From: FF Swin-Unet: a strategy for automated segmentation and severity scoring of NAFLD
Structure of the feature fusion module (FFM). FFM contains two main branches: the upper one is the first branch, which uses null convolution, by expanding the range of the receptive field in order to obtain the feature information of tissues and organs with smaller size. The lower part is the second branch, which introduces a soft pooling operation aimed at finer downsampling