Diagnostic performance of deep learning models using ultrasound for preoperative axillary nodal status in breast cancer: a systematic review and meta-analysis.
- DOI
- 10.3389/fonc.2026.1925423
- Published
- 2026
- Container
- Frontiers in oncology
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3389/fonc.2026.1925423,
title = {Diagnostic performance of deep learning models using ultrasound for preoperative axillary nodal status in breast cancer: a systematic review and meta-analysis.},
author = {Liu T and Yuan X and Wang J and He Y and Liu Y and Yan X and Cao C and Chen M and Li W and Li J and Cui X},
year = {2026},
journal = {Frontiers in oncology},
doi = {10.3389/fonc.2026.1925423},
url = {https://doi.org/10.3389/fonc.2026.1925423}
}RIS
TY - JOUR TI - Diagnostic performance of deep learning models using ultrasound for preoperative axillary nodal status in breast cancer: a systematic review and meta-analysis. AU - Liu T AU - Yuan X AU - Wang J AU - He Y AU - Liu Y AU - Yan X AU - Cao C AU - Chen M AU - Li W AU - Li J AU - Cui X PY - 2026 JO - Frontiers in oncology DO - 10.3389/fonc.2026.1925423 UR - https://doi.org/10.3389/fonc.2026.1925423 ER -
APA
T, L., X, Y., J, W., Y, H., Y, L., X, Y., C, C., M, C., W, L., J, L., & X, C. (2026). Diagnostic performance of deep learning models using ultrasound for preoperative axillary nodal status in breast cancer: a systematic review and meta-analysis.. Frontiers in oncology. https://doi.org/10.3389/fonc.2026.1925423
Source records
- pubmed · retrieved 2026-11-10T11:06:34.694Z