4 papers
Enhancing Layer Interaction Using Key-Correlated Layer Attention
Jianlong Xiong, ChuanBo Xie, Le Yu +2
Recent advances in network architecture design have introduced layer attention to enhance inter-layer interactions. In such frameworks, each layer queries all preceding layers to e…
Enhancing Feature Fusion of U-like Networks with Dynamic Skip Connections
Yue Cao, Quansong He, Kaishen Wang +3
U-like networks have become fundamental frameworks in medical image segmentation through skip connections that bridge high-level semantics and low-level spatial details. Despite th…
FuseUNet: A Multi-Scale Feature Fusion Method for U-like Networks
Quansong He, Xiangde Min, Kaishen Wang +1
Medical image segmentation is a critical task in computer vision, with UNet serving as a milestone architecture. The typical component of UNet family is the skip connection, howeve…
A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder
Quansong He, Xiaojun Yao, Jun Wu +2
In recent years, advanced U-like networks have demonstrated remarkable performance in medical image segmentation tasks. However, their drawbacks, including excessive parameters, hi…