AIBullisharXiv – CS AI · 9h ago7/10
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Overcoming data scarcity through multi-center federated learning for organs-at-risk segmentation in pediatric upper abdominal radiotherapy
Researchers demonstrated that federated learning enables multiple medical centers to collaboratively train pediatric organ segmentation models without sharing sensitive patient data. The approach matched local performance while significantly improving cross-center robustness for CT-based radiotherapy planning, addressing a critical gap in pediatric cancer care where data scarcity has limited model development.