计算机与现代化Issue(10)：67-72,6.DOI:10.3969/j.issn.1006-2475.2025.10.011
基于两阶段的多重注意力机制网络的胰腺分割
Pancreas Segmentation Based on Two-stage Network of Multiple Attention Mechanisms
摘要
Abstract
Pancreas segmentation is of great significance in computer-aided diagnosis of pancreatic diseases.The pancreas is characterized by small size,large individual differences,and blurred margins,so the task of pancreas segmentation is extremely challenging.To solve the above problems,this paper proposes a new network based on two-stage multi-attention mechanism.Firstly,in order to solve the problem of imbalance between the background and the target,this paper uses a two-stage segmenta-tion method to use the coarse segmentation stage to clip out the candidate region as the input of the fine segmentation stage.Sec-ondly,for the problem of large individual differences in the pancreas,the channel attention mechanism block is designed to the decoder,and the Squeeze and Excited Attention Module(SE Module)is also introduced to adapt to different shapes and sizes of pancreas by using its adaptive attention mechanism.Finally,the Convolutional Attention Module(CBAM)is used to strengthen the information transmission between the encoder and the decoder to improve the segmentation accuracy of the model.The pro-posed method is tested on the NIH dataset,and the results show that the proposed method has good performance and can effec-tively solve the problem that the pancreas is difficult to segment in abdominal CT images.关键词
胰腺分割/两阶段/注意力机制/双通道注意力机制模块/卷积注意力模块Key words
pancreas segmentation/two-stage/attention mechanisms/dual-channel attention mechanism block/CBAM分类
计算机与自动化引用本文复制引用
周邦湲,辛国江,梁昊,丁长松..基于两阶段的多重注意力机制网络的胰腺分割[J].计算机与现代化,2025,(10):67-72,6.基金项目
湖南中医药大学牵头研究项目(2022XJJB002) （2022XJJB002）
湖南省科技创新计划项目(2022RC1021) （2022RC1021）
湖南省自然科学基金资助项目(2023JJ60124) （2023JJ60124）
长沙市自然科学基金资助项目(kq2202265) （kq2202265）
