Development and Validation of an Interpretable Model Integrating Radiomics and Clinical Data for Predicting 70-gene Signature Risk in Breast Cancer: A Multicenter Study
- DOI
- 10.1016/j.acra.2026.06.003
- Published
- 2026-09
- Container
- Academic Radiology
- Publisher
- Elsevier BV
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1016/j.acra.2026.06.003,
title = {Development and Validation of an Interpretable Model Integrating Radiomics and Clinical Data for Predicting 70-gene Signature Risk in Breast Cancer: A Multicenter Study},
author = {Yunjun Yang and Tingfeng Zhang and Zhifeng Xu and Hong Hu and Liang Jin and Qing Liu},
year = {2026},
journal = {Academic Radiology},
doi = {10.1016/j.acra.2026.06.003},
url = {https://doi.org/10.1016/j.acra.2026.06.003}
}RIS
TY - JOUR TI - Development and Validation of an Interpretable Model Integrating Radiomics and Clinical Data for Predicting 70-gene Signature Risk in Breast Cancer: A Multicenter Study AU - Yunjun Yang AU - Tingfeng Zhang AU - Zhifeng Xu AU - Hong Hu AU - Liang Jin AU - Qing Liu PY - 2026 JO - Academic Radiology DO - 10.1016/j.acra.2026.06.003 UR - https://doi.org/10.1016/j.acra.2026.06.003 ER -
APA
Yang, Y., Zhang, T., Xu, Z., Hu, H., Jin, L., & Liu, Q. (2026). Development and Validation of an Interpretable Model Integrating Radiomics and Clinical Data for Predicting 70-gene Signature Risk in Breast Cancer: A Multicenter Study. Academic Radiology. https://doi.org/10.1016/j.acra.2026.06.003
Source records
- crossref · retrieved 2026-09-26T14:27:27.140Z