Enhancing Medical Image Segmentation of Various-sized Targets with a Novel Stagger Network

The core message of this paper is to propose a novel Stagger Network (SNet) that can effectively segment medical imaging targets of various sizes by mitigating information loss during the fusion of features from Convolutional Neural Networks (CNNs) and Vision Transformers (ViTs).