Meta-Learning With Unlabeled Query Updating and Consistency Learning for Few-Shot OCT Image Classification
The proposed method has great value in training deep learning models for diagnosis of rare diseases.
Authors
- Tao Peng (ORCID: https://orcid.org/0000-0003-0848-7901)
- Qing Peng (ORCID: https://orcid.org/0000-0002-6991-9432)
- Dehui Xiang (ORCID: https://orcid.org/0000-0001-7873-9778)
- Fei Shi (ORCID: https://orcid.org/0000-0002-8878-6655)
- Weifang Zhu (ORCID: https://orcid.org/0000-0001-9540-4101)
- Ziting Yin (ORCID: https://orcid.org/0009-0007-4092-5402)
- Xinjian Chen (ORCID: https://orcid.org/0000-0002-0871-293X)
- Bo Wu (ORCID: https://orcid.org/0009-0004-4220-5685)
Institutions
- Soochow University (TW)
- Soochow University (CN)
- Shanghai Tenth People's Hospital (CN)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1109/tbme.2025.3602687
- Primary Topic
- Photoacoustic and Ultrasonic Imaging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Natural Science Foundation of Jiangsu Province