U-Net v2: A Novel Encoder-Decoder Architecture with Efficient Skip Connections for Improved Medical Image Segmentation

A new U-Net variant, U-Net v2, is introduced that features a novel and straightforward design of skip connections to explicitly integrate semantic information from higher-level features and finer details from lower-level features into feature maps at each level, leading to improved medical image segmentation performance.