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#federated learning Open access Sep 2026

FedBCFA: a boundary-constrained feature alignment federated learning framework for multi-center breast MRI classification

Multi-center medical image modeling faces persistent challenges arising from data privacy constraints and cross-institutional distribution discrepancies. Federated learning provides a feasible paradigm for collaborative training of intelligent diagnostic models for breast magnetic resonance imaging (MRI) without sharin...

Wenbiao Du, Bo-Ya Zhang, Liu-Quan Cheng et al. · 0 citations

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