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.
Authors
- Jiachen Zheng
- Liyuan Zhang
- Xiongfeng Tang
Institutions
- Changchun University of Science and Technology (CN)
- Zhongshan Hospital (CN)
- Second Affiliated Hospital of Jilin University (CN)
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
- 0.00