Lightweight cross‐resolution coarse‐to‐fine network for efficient deformable medical image registration
Our LightCRCF method offers a favorable trade-off between accuracy and efficiency, maintaining high accuracy while achieving superior efficiency, thereby highlighting its potential for clinical applications. The code will be available at https://github.com/PerceptionComputingLab/LightCRCF.
Authors
- Nuo Shen (ORCID: https://orcid.org/0000-0002-7506-9059)
- Ye Tian (ORCID: https://orcid.org/0000-0002-0981-6677)
- Gongning Luo (ORCID: https://orcid.org/0000-0003-3662-0335)
- Wenyi Wang (ORCID: https://orcid.org/0000-0001-6923-8613)
- Jun Liu (ORCID: https://orcid.org/0000-0002-9545-8553)
- Xiangyu Li (ORCID: https://orcid.org/0000-0002-7390-9544)
- Yongfeng Yuan
- Kuanquan Wang
Institutions
- Harbin Medical University (CN)
- Shenzhen Institute of Information Technology (CN)
- Harbin Institute of Technology (CN)
- First Affiliated Hospital of Harbin Medical University (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-04-25
- DOI
- https://doi.org/10.1002/mp.17827
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China