医疗卫生装备2025，Vol.46Issue(11)：1-9,9.DOI:10.19745/j.1003-8868.2025193
基于交叉融合跳跃连接机制的腹部器官分割方法研究
Cross-fusion skip connection mechanism-based abdominal organ segmentation method
摘要
Abstract
Objective To propose an abdominal organ segmentation method based on a cross-fusion skip-connection mechanism to enhance the overall segmentation effect of abdominal organs.Methods Firstly,the Swin-Unet network was used as the baseline segmentation model,into which an enhanced dual cross attention(EDCA)module was integrated to refine features by fusing multi-scale encoder features;secondly,a decoder-guided cross-fusion attention(DCFA)module was added to reconstruct encoder information under the guidance of decoder features so as to mitigate the semantic gap between the features of the encoder and decoder;finally,a cross-fusion skip-connection mechanism was designed based on EDCA and DCFA modules to achieve effective feature transmission from encoder to decoder features.The cross-fusion skip connection mechanism-based abdominal organ segmentation model had its effectiveness validated by the experiments carried out on Synapse multi-organ CT dataset and comparison with some mainstream abdominal organ segmentation models including TransUNet,UNetR,UCTransNet,MT-UNet and Swin-Unet.Results The Swin-Unet model based on the cross-fusion skip connection mechanism achieved a Dice similarity coefficient(DSC)of 80.30%and a Hausdorff distance(HD)of 18.26 mm,outperforming the other mainstream abdominal organ segmentation models.Moreover,the model proposed had the number of parameters(27.18M)and floating-point operations per second(6.16×10⁹/s)both superior to those of the other mainstream abdominal organ segmentation models while close to those of Swin-Unet.Conclusion The proposed method effectively enhances the segmentation of abdominal organs,providing an effective design approach for optimizing segmentation models based on U-shaped structures.关键词
Swin-Unet/注意力机制/腹部器官分割/深度学习/跳跃连接Key words
Swin-Unet/attention mechanism/abdominal organ segmentation/deep learning/skip connection分类
基础医学引用本文复制引用
孙雨秀,张鹏鹏..基于交叉融合跳跃连接机制的腹部器官分割方法研究[J].医疗卫生装备,2025,46(11):1-9,9.基金项目
国家自然科学基金青年基金项目(61802247) （61802247）
上海市自然科学基金面上项目(22ZR1425300) （22ZR1425300）
