PathFL combines image-level style exchange, feature-level mean/variance alignment, and layer-similarity aggregation to improve federated pathology image segmentation under cross-source, cross-modality, cross-organ, and cross-scanner heterogeneity.
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PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentation
PathFL combines image-level style exchange, feature-level mean/variance alignment, and layer-similarity aggregation to improve federated pathology image segmentation under cross-source, cross-modality, cross-organ, and cross-scanner heterogeneity.