A novel cross‐modal data augmentation method based on contrastive unpaired translation network for kidney segmentation in ultrasound imaging
The proposed method can effectively improve the accuracy and generalization ability of kidney US image segmentation models with limited annotated training data.
Authors
- Menglin Wu (ORCID: https://orcid.org/0000-0001-6392-0478)
- Qinmu Peng
- Katherine Fischer (ORCID: https://orcid.org/0000-0001-9386-6855)
- Gregory E. Tasian (ORCID: https://orcid.org/0000-0001-7136-1485)
- Mingjie Zhang (ORCID: https://orcid.org/0000-0001-9404-0190)
- Xiangyu Sheng
- Shi Yin
- Yong Fan (ORCID: https://orcid.org/0000-0001-9977-6113)
- Shuaizi Guo
- Haijie Chen
Institutions
- Children's Hospital of Philadelphia (US)
- Nanjing Tech University (CN)
- Huazhong University of Science and Technology (CN)
- University of Pennsylvania (US)
Publication Details
- Journal
- Medical Physics
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1002/mp.17663
- Citations
- 4
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 5.10
Funders
- National Institutes of Health