LUCF-Net: Lightweight U-shaped Cascade Fusion Network for Medical Image Segmentation

arXiv:2404.07473v1 Announce Type: cross
Abstract: In this study, the performance of existing U-shaped neural network architectures was enhanced for medical image segmentation by adding Transformer. Although Transformer architectures are powerful at extracting global information, its ability to capture local information is limited due to its high complexity. To address this challenge, we proposed a new lightweight U-shaped cascade fusion network (LUCF-Net) for medical image segmentation. It utilized an asymmetrical structural design and incorporated both local and global modules to enhance …

abstract architectures arxiv complexity cs.cv cs.lg eess.iv fusion global image information medical network neural network performance segmentation study transformer type