Development and validation of artificial intelligence-based model for bladder cancer immunophenotyping using whole slide images.
- DOI
- 10.1038/s41698-026-01443-9
- Published
- 2026 May 19
- Container
- NPJ precision oncology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41698-026-01443-9,
title = {Development and validation of artificial intelligence-based model for bladder cancer immunophenotyping using whole slide images.},
author = {Zheng Q and Mei H and Weng X and Yang R and Wang K and Ni X and Wu J and Fan J and Liu T and Yuan J and Liu X and Wang L and Chen Z},
year = {2026},
journal = {NPJ precision oncology},
doi = {10.1038/s41698-026-01443-9},
url = {https://doi.org/10.1038/s41698-026-01443-9}
}RIS
TY - JOUR TI - Development and validation of artificial intelligence-based model for bladder cancer immunophenotyping using whole slide images. AU - Zheng Q AU - Mei H AU - Weng X AU - Yang R AU - Wang K AU - Ni X AU - Wu J AU - Fan J AU - Liu T AU - Yuan J AU - Liu X AU - Wang L AU - Chen Z PY - 2026 JO - NPJ precision oncology DO - 10.1038/s41698-026-01443-9 UR - https://doi.org/10.1038/s41698-026-01443-9 ER -
APA
Q, Z., H, M., X, W., R, Y., K, W., X, N., J, W., J, F., T, L., J, Y., X, L., L, W., & Z, C. (2026). Development and validation of artificial intelligence-based model for bladder cancer immunophenotyping using whole slide images.. NPJ precision oncology. https://doi.org/10.1038/s41698-026-01443-9
Source records
- pubmed · retrieved 2026-09-27T09:11:08.855Z