A Machine Learning Framework for Predicting the Tumor Control Probability of Radiation Therapy Plans

Lee E.; Cao Y.; Templeton A.; Yao R.; Chu J.

首页> 外文期刊>Medical Physics >A Machine Learning Framework for Predicting the Tumor Control Probability of Radiation Therapy Plans

【24h】

A Machine Learning Framework for Predicting the Tumor Control Probability of Radiation Therapy Plans

机译：一种机器学习框架，用于预测放射治疗计划的肿瘤控制概率

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

著录项
相似文献
相关主题

著录项

来源
《Medical Physics》 |2018年第6期|共2页
作者
Lee E.; Cao Y.; Templeton A.; Yao R.; Chu J.;
展开▼
作者单位

Georgia Inst Technol Atlanta GA 30332 USA;

Georgia Inst Technol Atlanta GA 30332 USA;

Rush Univ Med Ctr Chicago IL 60612 USA;

Columbus Reg Healthcare Columbus GA USA;

Rush Univ Med Ctr Oak Brook IL USA;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类基础医学;
关键词

相似文献

外文文献
中文文献
专利

1. A Machine Learning Framework for Predicting the Tumor Control Probability of Radiation Therapy Plans [J] . Lee E., Cao Y., Templeton A., Medical Physics . 2018,第6期

机译：一种机器学习框架，用于预测放射治疗计划的肿瘤控制概率
2. Application and comparison of machine learning models for predicting quality assurance outcomes in radiation therapy treatment planning [J] . Phillip D.H. Wall, Jonas D. Fontenot Informatics in Medicine Unlocked . 2020,第3期

机译：机器学习模型的应用与比较预测放射治疗计划中质量保证结果的应用
3. Predicting Planning Delays Using Machine Learning of Radiation Therapy Workflow Data from a Record and Verify System [J] . McKenzie S., Tran W., Lewis D., International Journal of Radiation Oncology, Biology, Physics . 2019,第1Suppla期

机译：使用机器学习从记录和验证系统中预测使用机器学习的规划延迟
4. RadioBio data: A Moddicom Module to Predict Tumor Control Probability and Normal Tissue Complication Probability in Radiotherapy [C] . Nicola Dinapoli, Anna Rita Alitto, Mauro Vallati, International Conference on Health Informatics . 2016

机译：radiobio数据：Moddicom模块，以预测放射治疗中肿瘤控制概率和正常组织并发症概率
5. Accelerating Radiation Dose Calculation with High Performance Computing and Machine Learning for Large-Scale Radiotherapy Treatment Planning [D] . Neph, Ryan Thomas. 2020

机译：大型放射治疗规划高性能计算与机器学习加速辐射剂量计算
6. The effect of 6 and 15 MV on intensity-modulated radiation therapy prostate cancer treatment: plan evaluation tumour control probability and normal tissue complication probability analysis and the theoretical risk of secondary induced malignancies [O] . M Hussein, S Aldridge, T Guerrero Urbano, 2012

机译：6和15 MV对调强放射治疗前列腺癌治疗的影响：计划评估肿瘤控制概率和正常组织并发症概率分析以及继发性恶性肿瘤的理论风险
7. Automated Machine-Learning Radiation Therapy Treatment Planning for Pediatric and Adult Brain Tumors [O] . G. Tsui, D.S.C. Tsang, C. McIntosh, 2020

机译：儿科和成人脑肿瘤自动化机器学习放射治疗治疗计划

A Machine Learning Framework for Predicting the Tumor Control Probability of Radiation Therapy Plans

著录项

相似文献

相关主题

期刊订阅