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A Deep-learning Method of Automatic VMAT Planning Via MLC Dynamic Sequence Prediction (AVP-DSP) Using 3D Dose Prediction: a Feasibility Study of Prostate Radiotherapy Application

机译：使用3D剂量预测通过MLC动态序列预测（AVP-DSP）自动VMAT规划的深度学习方法：前列腺放射治疗应用的可行性研究

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作者
Ni, Yimin.;
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作者单位

Duke University.;

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授予单位 Duke University.;
学科
学位 M.S.
年度 2020
页码 58 p.
总页数 58
原文格式 PDF
正文语种 eng
中图分类
关键词
入库时间 2022-08-17 12:03:43

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专利

1. Feasibility of CT-Only 3D Dose Prediction for VMAT Prostate Plans Using Deep Learning [J] . Willems S., Crijns W., Sterpin E., Medical Physics . 2019,第6期

机译：使用深度学习的VMAT前列腺计划的CT-only 3D剂量预测的可行性
2. A Novel Classification Method for Prediction of Rectal Bleeding in Prostate Cancer Radiotherapy Based on a Semi-Nonnegative ICA of 3D Planned Dose Distributions [J] . Coloigner Julie, Fargeas Aureline, Kachenoura Amar, Biomedical and Health Informatics, IEEE Journal of . 2015,第3期

机译：基于3D计划剂量分布的半负ICA预测前列腺癌放疗中直肠出血的新分类方法
3. Region-specific three-dimensional dose distribution prediction: a feasibility study on prostate VMAT cases [J] . M. Qi, Y. Li, A. Wu, Journal of Radiation Research and Applied Sciences . 2020,第1期

机译：特异性三维剂量分布预测：前列腺VMAT病例的可行性研究
4. Feasibility of CT-Only 3D Dose Prediction for VMAT Prostate Plans Using Deep Learning [C] . Siri Willems, Wouter Crijns, Edmond Sterpin, International Workshop on Artificial Intelligence in Radiation Therapy;International Conference on Medical Image Computing and Computer Assisted Intervention . 2019

机译：使用深度学习对VMAT前列腺计划进行仅CT的3D剂量预测的可行性
5. Studies of DNA and protein structure prediction from sequence: Data mining and molecular mechanics methods. [D] . Liu, Yongxing. 2001

机译：从序列预测DNA和蛋白质结构的研究：数据挖掘和分子力学方法。
6. Evaluation of patient DVH‐based QA metrics for prostate VMAT: correlation between accuracy of estimated 3D patient dose and magnitude of MLC misalignment [O] . Noriyuki Kadoya, Masahide Saito, Makoto Ogasawara, -1

机译：评估基于DVH的患者前列腺VMAT的QA指标：估计的3D患者剂量的准确性与MLC错位幅度之间的相关性
7. Automatic VMAT Planning via MLC Dynamic Sequence Prediction (AVP-DSP): A Novel Deep-Learning Method for Real-Time Prostate Treatment Planning [O] . Y. Ni, Y. Sheng, J. Zhang, 2020

机译：通过MLC动态序列预测（AVP-DSP）自动VMAT规划：一种新的实时前列腺治疗计划的深度学习方法
8. Calculation Methods for the Prediction of the Absorbed Dose in Radiotherapy Physics. [R] . Storchi, P. 1999

机译：放射治疗物理中吸收剂量预测的计算方法。

A Deep-learning Method of Automatic VMAT Planning Via MLC Dynamic Sequence Prediction (AVP-DSP) Using 3D Dose Prediction: a Feasibility Study of Prostate Radiotherapy Application

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