Lipeng Xie

Decentralized multimodal medical image segmentation via federated learning and segment anything model

Medical image segmentation faces critical challenges, including poor multi-center data generalization, limited multimodal handling, and high privacy risks. This study proposes a novel decentralized multimodal medical image segmentation method (FL-SAMMed) that integrates federated learning with the SAM-Med2D model. Firs...