Wavelet‐Based Frequency Replacement and Edge Enhancement for Semi‐Supervised Fetal Ultrasound Image Segmentation
The proposed framework offers a promising direction for ultrasound image segmentation in settings with limited annotations, effectively improving segmentation accuracy by combining frequency-domain augmentation and edge-aware enhancement. Code will be available at https://github.com/apple1986/WTEM-SemiSeg.
Authors
- Guoping Xu (ORCID: https://orcid.org/0000-0003-1431-7191)
- Jun Lyu (ORCID: https://orcid.org/0009-0001-4630-1568)
- Chang Li (ORCID: https://orcid.org/0000-0002-1705-0149)
- Qing Huang (ORCID: https://orcid.org/0000-0001-8927-9359)
- Yajun Yu (ORCID: https://orcid.org/0000-0002-4073-7715)
- Xiaming Wu
- Wenbo Yue (ORCID: https://orcid.org/0009-0007-9044-4332)
- Xinglong Wu
Institutions
- Hefei University of Technology (CN)
- Yantai University (CN)
- Hefei University (CN)
- Wuhan Engineering Science & Technology Institute (CN)
- The University of Texas Southwestern Medical Center (US)
- Wuhan Institute of Technology (CN)
Publication Details
- Journal
- Journal of Ultrasound in Medicine
- Published
- 2026-01-08
- DOI
- https://doi.org/10.1002/jum.70171
- Primary Topic
- Fetal and Pediatric Neurological Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hubei Province
- Fundamental Research Funds for the Central Universities