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Updated: May 2, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

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检测基于电子门户成像设备的in vivo剂量计的失败耐受性原因,使用机器学习进行体积调制弧线治疗:可行性研究

Nipon Saiyo1,2, Hironori Kojima3, Kimiya Noto3

  • 1Department of Quantum Medical Technology, Graduate Course of Medical Sciences and Technology, Division of Health Sciences, Graduate School of Medical Sciences, Kanazawa University, Ishikawa, Japan.

Physics and imaging in radiation oncology
|June 10, 2025
PubMed
概括

机器学习模型准确地对基于电子门户成像设备 (EPID) 的体内剂量测量 (IVD) 在VMAT放射治疗中的故障原因进行分类. 这有助于在处理过程中识别和纠正错误.

关键词:
基于EPID的体内剂量测量.失败的耐受性检测检测失败了机器学习模型的模型.

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