Open access
Aug 2026
REC-UNet: a 2D U-Net model with residual cross-dimensional attention for liver tumor segmentation
A novel residual “Enhancement-Calibration” U-Net architecture, termed REC-UNet, which achieves high overall segmentation accuracy across diverse lesion sizes and contrast conditions without relying on explicit size-stratified optimization.
Zhiyuan Wang, Lijun Liang, Wei Wu et al.
· PeerJ Computer Science · 0 citations