通过机器学习方法通过电子密度及其应用估计质子停止功率比和平均激发能量

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Updated: Jun 17, 2025

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
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Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

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Charles Ekene Chika1

  • 1Department of Mathematics, University of Nigeria, Nsukka, Enugu, Nigeria.

Journal of medical physics
|August 12, 2024
PubMed
概括

本研究提出了一种灵活的方法,用于使用相对电子密度准确估计制止功率比率 (SPR) 和平均激发能量 (I). 与现有方法相比,开发的模型表现出强大的性能和较低的测试误差.

关键词:
计算机断层扫描图像图像.机器学习是机器学习.数学模型是一个数学模型.优化的优化优化优化.质子制止功率比率是质子制止功率比率.质子疗法是一种质子疗法.瘤治疗 瘤治疗

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