CSAFusion: a convolutional neural network (CNN)-based and Swin Transformer network for multi-modal medical image fusion

CSAFusion enhances both local and global feature extraction, enabling more faithful preservation of critical diagnostic information in multi-modal medical image fusion. The superior quantitative performance and robust cross-modality generalization highlight CSAFusion as a promising tool for clinical applications.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2026-02-13
DOI
https://doi.org/10.21037/qims-2025-1659
Primary Topic
Advanced Image Fusion Techniques
Type
article
Field-Weighted Citation Impact
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article

CSAFusion: a convolutional neural network (CNN)-based and Swin Transformer network for multi-modal medical image fusion

Jiachen Zheng, Liyuan Zhang, Xiongfeng Tang
Quantitative Imaging in Medicine and Surgery
Advanced Image Fusion Techniques
article

CSAFusion: a convolutional neural network (CNN)-based and Swin Transformer network for multi-modal medical image fusion

Jiachen Zheng, Liyuan Zhang, Xiongfeng Tang
article en

Abstract

CSAFusion enhances both local and global feature extraction, enabling more faithful preservation of critical diagnostic information in multi-modal medical image fusion. The superior quantitative performance and robust cross-modality generalization highlight CSAFusion as a promising tool for clinical applications.

Quantitative Imaging in Medicine and SurgeryVol. 16(3)
Changchun University of Science and Technology (CN), Zhongshan Hospital (CN), Second Affiliated Hospital of Jilin University (CN)
Openalex Percentile: Top 62%
Advanced Image Fusion Techniques
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