Federated generative prompt learning with vision foundation models: universal efficient multi-center medical image analysis.
- DOI
- 10.1038/s41746-026-02866-1
- Published
- 2026 Jun 10
- Container
- NPJ digital medicine
- Publisher
- Not recorded
- Open access
- yes
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limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1038/s41746-026-02866-1,
title = {Federated generative prompt learning with vision foundation models: universal efficient multi-center medical image analysis.},
author = {Lin X and Chen Y and Wu J and Xu C and Li J and Su X},
year = {2026},
journal = {NPJ digital medicine},
doi = {10.1038/s41746-026-02866-1},
url = {https://doi.org/10.1038/s41746-026-02866-1}
}RIS
TY - JOUR TI - Federated generative prompt learning with vision foundation models: universal efficient multi-center medical image analysis. AU - Lin X AU - Chen Y AU - Wu J AU - Xu C AU - Li J AU - Su X PY - 2026 JO - NPJ digital medicine DO - 10.1038/s41746-026-02866-1 UR - https://doi.org/10.1038/s41746-026-02866-1 ER -
APA
X, L., Y, C., J, W., C, X., J, L., & X, S. (2026). Federated generative prompt learning with vision foundation models: universal efficient multi-center medical image analysis.. NPJ digital medicine. https://doi.org/10.1038/s41746-026-02866-1
Source records
- pubmed · retrieved 2026-09-25T19:31:33.023Z
- europe-pmc · retrieved 2026-09-25T19:31:33.054Z