Multichannel deep learning-based MRI model for predicting breast cancer axillary lymph node invasion: a comparative study to Node-RADS.
- DOI
- 10.21037/qims-2026-0851
- Published
- 2026 Sep 1
- Container
- Quantitative imaging in medicine and surgery
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.21037/qims-2026-0851,
title = {Multichannel deep learning-based MRI model for predicting breast cancer axillary lymph node invasion: a comparative study to Node-RADS.},
author = {Meng L and Zhang Y and Zhao X and Lu L and Meng X and Li S and Shao F and Zhang X},
year = {2026},
journal = {Quantitative imaging in medicine and surgery},
doi = {10.21037/qims-2026-0851},
url = {https://doi.org/10.21037/qims-2026-0851}
}RIS
TY - JOUR TI - Multichannel deep learning-based MRI model for predicting breast cancer axillary lymph node invasion: a comparative study to Node-RADS. AU - Meng L AU - Zhang Y AU - Zhao X AU - Lu L AU - Meng X AU - Li S AU - Shao F AU - Zhang X PY - 2026 JO - Quantitative imaging in medicine and surgery DO - 10.21037/qims-2026-0851 UR - https://doi.org/10.21037/qims-2026-0851 ER -
APA
L, M., Y, Z., X, Z., L, L., X, M., S, L., F, S., & X, Z. (2026). Multichannel deep learning-based MRI model for predicting breast cancer axillary lymph node invasion: a comparative study to Node-RADS.. Quantitative imaging in medicine and surgery. https://doi.org/10.21037/qims-2026-0851
Source records
- pubmed · retrieved 2026-09-26T13:14:11.207Z