Interpretable Machine Learning Using Multimodal Ultrasound and MRI Features for Predicting Axillary Lymph Node Metastasis in Breast Cancer: A Dual-Center Retrospective Study.
- DOI
- 10.1007/s10278-026-02190-w
- Published
- 2026 Aug 20
- Container
- Journal of imaging informatics in medicine
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s10278-026-02190-w,
title = {Interpretable Machine Learning Using Multimodal Ultrasound and MRI Features for Predicting Axillary Lymph Node Metastasis in Breast Cancer: A Dual-Center Retrospective Study.},
author = {Liu Y and Zhang M and Xia Q and He H and Wang M and Ying C},
year = {2026},
journal = {Journal of imaging informatics in medicine},
doi = {10.1007/s10278-026-02190-w},
url = {https://doi.org/10.1007/s10278-026-02190-w}
}RIS
TY - JOUR TI - Interpretable Machine Learning Using Multimodal Ultrasound and MRI Features for Predicting Axillary Lymph Node Metastasis in Breast Cancer: A Dual-Center Retrospective Study. AU - Liu Y AU - Zhang M AU - Xia Q AU - He H AU - Wang M AU - Ying C PY - 2026 JO - Journal of imaging informatics in medicine DO - 10.1007/s10278-026-02190-w UR - https://doi.org/10.1007/s10278-026-02190-w ER -
APA
Y, L., M, Z., Q, X., H, H., M, W., & C, Y. (2026). Interpretable Machine Learning Using Multimodal Ultrasound and MRI Features for Predicting Axillary Lymph Node Metastasis in Breast Cancer: A Dual-Center Retrospective Study.. Journal of imaging informatics in medicine. https://doi.org/10.1007/s10278-026-02190-w
Source records
- pubmed · retrieved 2026-09-26T22:10:30.693Z