Development and validation of the risk stratification based on deep learning and radiomics to predict survival of advanced cervical cancer
- DOI
- 10.1038/s41598-025-25037-w
- Published
- 2025-11-21
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-25037-w,
title = {Development and validation of the risk stratification based on deep learning and radiomics to predict survival of advanced cervical cancer},
author = {Mutangala Muloye Guy and Zhonghao Mao and Yi Yu and Yi Liu and Tingting Bian and Qingqing Liu and Ningfeng Li and Yiping Hao and Baoxia Cui},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-25037-w},
url = {https://doi.org/10.1038/s41598-025-25037-w}
}RIS
TY - JOUR TI - Development and validation of the risk stratification based on deep learning and radiomics to predict survival of advanced cervical cancer AU - Mutangala Muloye Guy AU - Zhonghao Mao AU - Yi Yu AU - Yi Liu AU - Tingting Bian AU - Qingqing Liu AU - Ningfeng Li AU - Yiping Hao AU - Baoxia Cui PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-25037-w UR - https://doi.org/10.1038/s41598-025-25037-w ER -
APA
Guy, M. M., Mao, Z., Yu, Y., Liu, Y., Bian, T., Liu, Q., Li, N., Hao, Y., & Cui, B. (2025). Development and validation of the risk stratification based on deep learning and radiomics to predict survival of advanced cervical cancer. Scientific Reports. https://doi.org/10.1038/s41598-025-25037-w
Source records
- crossref · retrieved 2026-09-26T15:20:27.118Z