MRI-based deep-learning radiomics nomogram for differentiating FIGO 2023 stage I from stage II–IV endometrial cancer: a multicenter study
- DOI
- 10.1186/s13244-026-02428-9
- Published
- 2026-11-06
- Container
- Insights into Imaging
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1186/s13244-026-02428-9,
title = {MRI-based deep-learning radiomics nomogram for differentiating FIGO 2023 stage I from stage II–IV endometrial cancer: a multicenter study},
author = {Xiao Chu and Liting Gao and Xinyi Wang and Tao Quan and Yuxin Ding and Ying Chen and Genji Bai and Mingxiang Wei and Shuangqing Chen},
year = {2026},
journal = {Insights into Imaging},
doi = {10.1186/s13244-026-02428-9},
url = {https://doi.org/10.1186/s13244-026-02428-9}
}RIS
TY - JOUR TI - MRI-based deep-learning radiomics nomogram for differentiating FIGO 2023 stage I from stage II–IV endometrial cancer: a multicenter study AU - Xiao Chu AU - Liting Gao AU - Xinyi Wang AU - Tao Quan AU - Yuxin Ding AU - Ying Chen AU - Genji Bai AU - Mingxiang Wei AU - Shuangqing Chen PY - 2026 JO - Insights into Imaging DO - 10.1186/s13244-026-02428-9 UR - https://doi.org/10.1186/s13244-026-02428-9 ER -
APA
Chu, X., Gao, L., Wang, X., Quan, T., Ding, Y., Chen, Y., Bai, G., Wei, M., & Chen, S. (2026). MRI-based deep-learning radiomics nomogram for differentiating FIGO 2023 stage I from stage II–IV endometrial cancer: a multicenter study. Insights into Imaging. https://doi.org/10.1186/s13244-026-02428-9
Source records
- crossref · retrieved 2026-11-08T14:45:58.358Z