A highly generalized federated learning algorithm for brain tumor segmentation

A highly generalized federated learning algorithm for brain tumor segmentation

Abstract Brain image segmentation plays a pivotal role in modern healthcare by enabling precise diagnosis and treatment planning. Federated Learning (FL) enables collaborative model training across institutions while safeguarding sensitive patient data. The integration of these technologies holds si...

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Bibliographic Details
Main Authors:	Jun Wen, Xiusheng Li, Xin Ye, Xiaoli Li, Hang Mao
Format:	Article
Language:	English
Published:	Nature Portfolio 2025-07-01
Series:	Scientific Reports
Subjects:	Federated learning Brain tumor segmentation Machine learning Virtual adversarial training Model aggregation
Online Access:	https://doi.org/10.1038/s41598-025-05297-2
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