Anatomical 3D Style Transfer Enabling Efficient Federated Learning with Extremely Low Communication Costs
In this study, we propose a novel federated learning (FL) approach that utilizes 3D style transfer for the multi-organ segmentation task. The multi-organ dataset, obtained by integrating multiple datasets, has high scalability and can improve generalization performance as the data volume increases....
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