FedBCFA: a boundary-constrained feature alignment federated learning framework for multi-center breast MRI classification
Experimental results demonstrate that the proposed FedBCFA achieves favorable overall performance in multi-center breast MRI classification, effectively mitigates class confusion under non-IID conditions, and improves the discriminative stability for benign and malignant lesions.
Wen-Biao Du, Bo-Ya Zhang, Liu-Quan Cheng et al.
· Journal of King Saud Univers... · 0 citations