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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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Autori principali: Heng Zhang, Tong Zhao, Sai Zhang, Zi-Yi Wang, Nan-Nan Cao, Jiang-Yi Ding, Xiao-Qin Li, Xiao-Li Zhou, Xin-Ye Ni
Natura: Artigo
Lingua:Inglês
Pubblicazione: BMC 2026-02-01
Serie:BMC Medical Imaging
Soggetti:
Radiomics
Deep learning
Attention mechanism
Ultrasound
Axillary lymph node metastasis
Breast cancer
Accesso online:https://doi.org/10.1186/s12880-026-02208-3
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