Enhanced cervical cancer diagnosis using a novel Bayesian fusion ensemble method with explainable AI.
- DOI
- 10.1038/s41598-026-35334-7
- Published
- 2026 Mar 5
- Container
- Scientific reports
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-026-35334-7,
title = {Enhanced cervical cancer diagnosis using a novel Bayesian fusion ensemble method with explainable AI.},
author = {Islam O and Assaduzzaman M and Akter S and Fahad N and Hossen MJ},
year = {2026},
journal = {Scientific reports},
doi = {10.1038/s41598-026-35334-7},
url = {https://doi.org/10.1038/s41598-026-35334-7}
}RIS
TY - JOUR TI - Enhanced cervical cancer diagnosis using a novel Bayesian fusion ensemble method with explainable AI. AU - Islam O AU - Assaduzzaman M AU - Akter S AU - Fahad N AU - Hossen MJ PY - 2026 JO - Scientific reports DO - 10.1038/s41598-026-35334-7 UR - https://doi.org/10.1038/s41598-026-35334-7 ER -
APA
O, I., M, A., S, A., N, F., & MJ, H. (2026). Enhanced cervical cancer diagnosis using a novel Bayesian fusion ensemble method with explainable AI.. Scientific reports. https://doi.org/10.1038/s41598-026-35334-7