Tumor Heterogeneity and Genomics to Predict Radiation Therapy Outcome for Head-and-Neck Cancer: A Machine Learning Approach

Singh A.; Goyal S.; Rao Y. J.; Loew M.

首页> 外文期刊>International Journal of Radiation Oncology, Biology, Physics >Tumor Heterogeneity and Genomics to Predict Radiation Therapy Outcome for Head-and-Neck Cancer: A Machine Learning Approach

【24h】

Tumor Heterogeneity and Genomics to Predict Radiation Therapy Outcome for Head-and-Neck Cancer: A Machine Learning Approach

机译：肿瘤异质性和基因组学预测头部颈部癌症的放射治疗结果：机器学习方法

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
《International Journal of Radiation Oncology, Biology, Physics》 |2019年第1suppla期|共2页
作者
Singh A.; Goyal S.; Rao Y. J.; Loew M.;
展开▼
作者单位

George Washington Univ Washington DC USA;

George Washington Univ Dept Radiat Oncol Washington DC USA;

George Washington Univ Dept Radiat Oncol Washington DC USA;

George Washington Univ Washington DC USA;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类放射医学;
关键词

相似文献

外文文献
中文文献
专利

1. Tumor Heterogeneity and Genomics to Predict Radiation Therapy Outcome for Head-and-Neck Cancer: A Machine Learning Approach [J] . Singh A., Goyal S., Rao Y. J., International Journal of Radiation Oncology, Biology, Physics . 2019,第1Suppla期

机译：肿瘤异质性和基因组学预测头部颈部癌症的放射治疗结果：机器学习方法
2. Utilization of Machine Learning and Proton Collaborative Group Data to Develop a Model for Predictive Prostate Cancer Proton Radiation Therapy Outcomes [J] . Ricks L. J., Sambyal A., McDonald J., International Journal of Radiation Oncology, Biology, Physics . 2017,第2Suppla期

机译：利用机器学习和质子协作组数据，开发预测前列腺癌质子辐射治疗结果的模型
3. Predicting outcome of advanced head-and-neck cancer by measuring tumor blood perfusion in patients receiving neoadjuvant chemotherapy [J] . Kishore Singh, Rubu Sunku, Arun K Rathi, Journal of Cancer Research and Therapeutics . 2020,第Suppla1期

机译：通过测量接受Neoadjuvant化疗患者肿瘤血液灌注预测晚期头颈癌的结果
4. A Machine Learning Approach for Biomechanics-based Tracking of Lung Tumor During External Beam Radiation Therapy [C] . Elham Karami, Stewart Gaede, Ting-Yim Lee, SPIE Medical Imaging Conference . 2018

机译：机器学习方法在外束放射治疗过程中基于生物力学的肺肿瘤追踪
5. Development of DICOM-Based Computer-Aided System and Conformity Index for Evaluation of Intensity Modulated Radiation Therapy Plans for Head-and-Neck Cancer. [D] . Cheung, Wai Kwan Fion. 2012

机译：基于DICOM的计算机辅助系统和合格指数的开发，用于评估头颈癌调强放射治疗计划。
6. Post-Radiation Metabolic Tumor Volume Predicts Outcome in Head-and-Neck Cancer [O] . James D Murphy, Trang H. La, Karen Chu, -1

机译：后辐射后代谢肿瘤体积预测头部癌症的结果
7. Postradiation Metabolic Tumor Volume Predicts Outcome in Head-and-Neck Cancer [O] . James D. Murphy, Trang H. La, Karen Chu, 2011

机译：postradiation代谢肿瘤体积预测头颈癌症的结果

Tumor Heterogeneity and Genomics to Predict Radiation Therapy Outcome for Head-and-Neck Cancer: A Machine Learning Approach

著录项

相似文献

相关主题

期刊订阅