Enhancing cervical squamous cell carcinoma diagnosis under distribution shift via domain-adaptive representation learning.
- DOI
- 10.1016/j.isci.2026.117744
- Published
- 2026 Nov 20
- Container
- iScience
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.isci.2026.117744,
title = {Enhancing cervical squamous cell carcinoma diagnosis under distribution shift via domain-adaptive representation learning.},
author = {Huang Z and Liu Y and Jin S and Wang Y and Fu M and Ouyang J and Yu D and Zhu T and Zeng F and Pan X and Ye J and Wang J and He X and Cheng X and Zhao M and He Y and Zhang H and Hu B},
year = {2026},
journal = {iScience},
doi = {10.1016/j.isci.2026.117744},
url = {https://doi.org/10.1016/j.isci.2026.117744}
}RIS
TY - JOUR TI - Enhancing cervical squamous cell carcinoma diagnosis under distribution shift via domain-adaptive representation learning. AU - Huang Z AU - Liu Y AU - Jin S AU - Wang Y AU - Fu M AU - Ouyang J AU - Yu D AU - Zhu T AU - Zeng F AU - Pan X AU - Ye J AU - Wang J AU - He X AU - Cheng X AU - Zhao M AU - He Y AU - Zhang H AU - Hu B PY - 2026 JO - iScience DO - 10.1016/j.isci.2026.117744 UR - https://doi.org/10.1016/j.isci.2026.117744 ER -
APA
Z, H., Y, L., S, J., Y, W., M, F., J, O., D, Y., T, Z., F, Z., X, P., J, Y., J, W., X, H., X, C., M, Z., Y, H., H, Z., & B, H. (2026). Enhancing cervical squamous cell carcinoma diagnosis under distribution shift via domain-adaptive representation learning.. iScience. https://doi.org/10.1016/j.isci.2026.117744
Source records
- pubmed · retrieved 2026-11-10T12:33:37.501Z