Building a Padding-Equipped U-Net for Biomedical Image Segmentation
U-Net, formulated by Ronneberger et al. in 2015, adopts an encoder-decoder framework with skip connections to fuse high-resolution feature maps from the contraction path with upsampled outputs in the expansion path. The architecture excels in tasks requiring precise localization, such as biomedical...