Machine Learning Comparison and Combined Model Optimization Based on DCE-MRI Radiomics for Preoperative Assessment of Lymphovascular Invasion in Breast Cancer: A Multicenter Study.
- DOI
- 10.1002/cnr2.70678
- Published
- 2026 Sep
- Container
- Cancer reports (Hoboken, N.J.)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1002/cnr2.70678,
title = {Machine Learning Comparison and Combined Model Optimization Based on DCE-MRI Radiomics for Preoperative Assessment of Lymphovascular Invasion in Breast Cancer: A Multicenter Study.},
author = {Li H and Xiao Q and Zeng Y and Wang X and Zhang Y},
year = {2026},
journal = {Cancer reports (Hoboken, N.J.)},
doi = {10.1002/cnr2.70678},
url = {https://doi.org/10.1002/cnr2.70678}
}RIS
TY - JOUR TI - Machine Learning Comparison and Combined Model Optimization Based on DCE-MRI Radiomics for Preoperative Assessment of Lymphovascular Invasion in Breast Cancer: A Multicenter Study. AU - Li H AU - Xiao Q AU - Zeng Y AU - Wang X AU - Zhang Y PY - 2026 JO - Cancer reports (Hoboken, N.J.) DO - 10.1002/cnr2.70678 UR - https://doi.org/10.1002/cnr2.70678 ER -
APA
H, L., Q, X., Y, Z., X, W., & Y, Z. (2026). Machine Learning Comparison and Combined Model Optimization Based on DCE-MRI Radiomics for Preoperative Assessment of Lymphovascular Invasion in Breast Cancer: A Multicenter Study.. Cancer reports (Hoboken, N.J.). https://doi.org/10.1002/cnr2.70678
Source records
- pubmed · retrieved 2026-11-10T12:56:46.839Z