干旱区生态环境知识资源中心(Arid): Pure large kernel convolutional neural network transformer for medical image registration

Arid

DOI	10.3233/IDA-230197
	Pure large kernel convolutional neural network transformer for medical image registration
	Fang, Zhao; Cao, Wenming
通讯作者	Cao, WM
来源期刊	INTELLIGENT DATA ANALYSIS
ISSN	1088-467X
EISSN	1571-4128
出版年	2024
卷号	28 期号:3 页码:769-790
英文摘要	Deformable medical image registration is a fundamental and critical task in medical image analysis. Recently, deep learning-based methods have rapidly developed and have shown impressive results in deformable image registration. However, existing approaches still suffer from limitations in registration accuracy or generalization performance. To address these challenges, in this paper, we propose a pure convolutional neural network module (CVTF) to implement hierarchical transformers and enhance the registration performance of medical images. CVTF has a larger convolutional kernel, providing a larger global effective receptive field, which can improve the network's ability to capture long-range dependencies. In addition, we introduce the spatial interaction attention (SIA) module to compute the interrelationship between the target feature pixel points and all other points in the feature map. This helps to improve the semantic understanding of the model by emphasizing important features and suppressing irrelevant ones. Based on the proposed CVTF and SIA, we construct a novel registration framework named PCTNet. We applied PCTNet to generate displacement fields and register medical images, and we conducted extensive experiments and validation on two public datasets, OASIS and LPBA40. The experimental results demonstrate the effectiveness and generality of our method, showing significant improvements in registration accuracy and generalization performance compared to existing methods. Our code has been available at https://github.com/fz852/PCTNet.
英文关键词	Deformable image registration convolutional neural network self-attention unsupervised learning
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001241215600010
WOS关键词	LEARNING FRAMEWORK
WOS类目	Computer Science, Artificial Intelligence
WOS研究方向	Computer Science
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404184
推荐引用方式 GB/T 7714	Fang, Zhao,Cao, Wenming. Pure large kernel convolutional neural network transformer for medical image registration[J],2024,28(3):769-790.
APA	Fang, Zhao,&Cao, Wenming.(2024).Pure large kernel convolutional neural network transformer for medical image registration.INTELLIGENT DATA ANALYSIS,28(3),769-790.
MLA	Fang, Zhao,et al."Pure large kernel convolutional neural network transformer for medical image registration".INTELLIGENT DATA ANALYSIS 28.3(2024):769-790.