Ultrasound-based attention-guided deep learning combined with radiomics to predict axillary lymph node metastasis in breast cancer

Abstract Background The accurate preoperative identification of axillary lymph node (ALN) metastasis status is important for treatment decision-making and prognostic assessment for patients with breast cancer. The aim of this study was to develop a multiscale feature fusion model (CBAM_DenseNet201_R...

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Κύριοι συγγραφείς:	Heng Zhang, Tong Zhao, Sai Zhang, Zi-Yi Wang, Nan-Nan Cao, Jiang-Yi Ding, Xiao-Qin Li, Xiao-Li Zhou, Xin-Ye Ni
Μορφή:	Artigo
Γλώσσα:	Inglês
Έκδοση:	BMC 2026-02-01
Σειρά:	BMC Medical Imaging
Θέματα:	Radiomics Deep learning Attention mechanism Ultrasound Axillary lymph node metastasis Breast cancer
Διαθέσιμο Online:	https://doi.org/10.1186/s12880-026-02208-3
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