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联合学习用于增强剂量-体积参数预测,使用分散的数据

Jiahan Zhang1, Yang Lei1, Junyi Xia1

  • 1Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, New York, USA.

Medical physics
|December 6, 2024
PubMed
概括

联合学习 (FL) 通过训练使用分布式,私有数据的中央模型,使精确的放射瘤规划成为可能. 这种方法与没有共享数据的集中模型性能相匹配,克服了采用障碍.

关键词:
联合学习的联合学习基于知识的规划是基于知识的.机器学习是机器学习.治疗计划 治疗计划

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