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Updated: Jun 22, 2026

Pretargeted Radioimmunotherapy Based on the Inverse Electron Demand Diels-Alder Reaction
09:44

Pretargeted Radioimmunotherapy Based on the Inverse Electron Demand Diels-Alder Reaction

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在向放射性核素治疗中用于剂量预测的半监督学习:一项合成数据研究

Jing Zhang1, Alexandre Bousse2, Chi-Hieu Pham1

  • 1Université de Bretagne Occidentale, 22 Camille Desmoulins, Brest, Brittany, 29238, FRANCE.

Physics in medicine and biology
|January 12, 2026
PubMed
概括

半监督学习 (SSL) 减少了对深度学习 (DL) 中广泛标记数据的需求,用于在向放射性核素治疗 (TRT) 中预测辐射剂量. 这种方法实现了与完全监督的方法相比的剂量测量精度,即使临床数据有限.

关键词:
蒙特卡洛模拟的蒙特卡洛模拟有针对性的放射性核酸治疗.深度学习是一种深度学习.个性化剂量测量是个性化的.半监督学习 半监督学习综合数据 综合数据

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