A Generative Foundation Model for Scalable Cytology Image Synthesis in AI-Powered Diagnostics.

Zheng K, Zheng X, Wang J, Zhang X, Chen S, Chen Q, Fu S, Xie D, Wang R, Lai J, Cai M

Open source

DOI
10.1158/1078-0432.ccr-25-2445
Published
2026 Feb 17
Container
Clinical cancer research : an official journal of the American Association for Cancer Research
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1158/1078-0432.ccr-25-2445,
  title = {A Generative Foundation Model for Scalable Cytology Image Synthesis in AI-Powered Diagnostics.},
  author = {Zheng K and Zheng X and Wang J and Zhang X and Chen S and Chen Q and Fu S and Xie D and Wang R and Lai J and Cai M},
  year = {2026},
  journal = {Clinical cancer research : an official journal of the American Association for Cancer Research},
  doi = {10.1158/1078-0432.ccr-25-2445},
  url = {https://doi.org/10.1158/1078-0432.ccr-25-2445}
}

RIS

TY  - JOUR
TI  - A Generative Foundation Model for Scalable Cytology Image Synthesis in AI-Powered Diagnostics.
AU  - Zheng K
AU  - Zheng X
AU  - Wang J
AU  - Zhang X
AU  - Chen S
AU  - Chen Q
AU  - Fu S
AU  - Xie D
AU  - Wang R
AU  - Lai J
AU  - Cai M
PY  - 2026
JO  - Clinical cancer research : an official journal of the American Association for Cancer Research
DO  - 10.1158/1078-0432.ccr-25-2445
UR  - https://doi.org/10.1158/1078-0432.ccr-25-2445
ER  - 

APA

K, Z., X, Z., J, W., X, Z., S, C., Q, C., S, F., D, X., R, W., J, L., & M, C. (2026). A Generative Foundation Model for Scalable Cytology Image Synthesis in AI-Powered Diagnostics.. Clinical cancer research : an official journal of the American Association for Cancer Research. https://doi.org/10.1158/1078-0432.ccr-25-2445

Source records