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...