Structural tensor and frequency guided semi‐supervised segmentation for medical images
We find the proposed approach could improve the final performance of the semi-supervised medical image segmentation task. It will help reduce the need for medical image labels. Our code will are available at https://github.com/apple1986/STLFAL.
Authors
- Guoping Xu (ORCID: https://orcid.org/0000-0003-1431-7191)
- Xiaxia Wang (ORCID: https://orcid.org/0000-0003-4184-0754)
- Jianxiu Jin
- Wenbo Yue (ORCID: https://orcid.org/0009-0007-9044-4332)
- Xuesong Leng (ORCID: https://orcid.org/0000-0002-7849-3752)
Institutions
- South China University of Technology (CN)
- Wuhan Institute of Technology (CN)
Publication Details
- Journal
- Medical Physics
- Published
- 2024-09-16
- DOI
- https://doi.org/10.1002/mp.17399
- Citations
- 4
- Primary Topic
- Advanced Neural Network Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.00
Funders
- Zhejiang University
- Wuhan Institute of Technology
- Fundamental Research Funds for the Central Universities
- Division of Graduate Education