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Physics-informed machine learning for predicting MLC and gantry errors in VMAT: a feature engineering approach.

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第一作者： Perumal,Murugan

第一单位： Sri Shankara Cancer Hospital and Research Centre Bengaluru, Karnataka, India.

作者： Perumal,Murugan ^[1] ; Ravikumar,Manickam ^[2]

作者单位： Sri Shankara Cancer Hospital and Research Centre Bengaluru, Karnataka, India. ^[1] Sri Shankara Cancer Hospital and Research Centre Bengaluru, Karnataka, India. Electronic address: drmravi59@yahoo.com. ^[2]

关键词 Feature-engineering Friction factor Machine-learning Optuna optimization Predictive modelling SHAP analysis

医学主题词放射疗法, 调强适形(Radiotherapy, Intensity-Modulated);放射治疗计划, 计算机辅助(Radiotherapy Planning, Computer-Assisted);人类(Humans)

DOI 10.1016/j.ejmp.2025.105064

PMID 40737706

发布时间 2025-08-09

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Physics-informed machine learning for predicting MLC and gantry errors in VMAT: a feature engineering approach.

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