Evaluation of a Deep Learning-Based Auto-Segmentation Tool for Online Adaptive Radiation Therapy

Amjad A.; Thill D.; Lawton C. A. F.; OConnell N.; Hall W. A.; Li A.

首页> 外文期刊>International Journal of Radiation Oncology, Biology, Physics >Evaluation of a Deep Learning-Based Auto-Segmentation Tool for Online Adaptive Radiation Therapy

【24h】

Evaluation of a Deep Learning-Based Auto-Segmentation Tool for Online Adaptive Radiation Therapy

机译：评估在线自适应放射疗法的深度学习自动分割工具

获取原文

获取原文并翻译 | 示例

获取外文期刊封面目录资料

开具论文收录证明 >>

文献代查 >>

文献数据库（团队版） >>

页面导航

著录项
引文网络
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
Amjad A.; Thill D.; Lawton C. A. F.; OConnell N.; Hall W. A.; Li A.;
展开▼
作者单位

Med Coll Wisconsin Dept Radiat Oncol Milwaukee WI 53226 USA;

Global Eng NA Elekta Maryland Hts MD USA;

Med Coll Wisconsin Dept Radiat Oncol Milwaukee WI 53226 USA;

Global Eng NA Elekta Maryland Hts MD USA;

Med Coll Wisconsin Dept Radiat Oncol Milwaukee WI 53226 USA;

Med Coll Wisconsin Dept Radiat Oncol Milwaukee WI 53226 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. Evaluation of a Deep Learning-Based Auto-Segmentation Tool for Online Adaptive Radiation Therapy [J] . Amjad A., Thill D., Lawton C. A. F., International Journal of Radiation Oncology, Biology, Physics . 2019,第1Suppla期

机译：评估在线自适应放射疗法的深度学习自动分割工具
2. Using Spatial Probability Maps to Highlight Potential Inaccuracies in Deep Learning-Based Contours: Facilitating Online Adaptive Radiation Therapy [J] . Ward van Rooij, Wilko F. Verbakel, Berend J. Slotman, Advances in Radiation Oncology . 2021,第2期

机译：使用空间概率图突出基于深度学习的轮廓中的潜在不准确性：促进在线自适应放射治疗
3. Implementation of deep learning-based auto-segmentation for radiotherapy planning structures: a workflow study at two cancer centers [J] . Jordan Wong, Vicky Huang, Derek Wells, Radiation oncology . 2021,第1期

机译：放射治疗结构深度学习的自动分割的实施：两种癌症中心的工作流程研究
4. A Deep Learning-Based Method for Predicting Volumes of Nasopharyngeal Carcinoma for Adaptive Radiation Therapy Treatment [C] . Bilel Daoud, Kenichi Morooka, Shoko Miyauchi, International Conference on Pattern Recognition . 2021

机译：一种基于深入的学习方法，用于预测适应性放射治疗的鼻咽癌癌卷
5. A Comparative Study of Novel Deep Learning-Based and Conventional Atlas-Based Automatic Segmentation in Head and Neck Radiotherapy Planning [D] . Asbach, John. 2020

机译：基于深度学习和常规阿特拉斯的头部放射治疗规划中的基于常规地图的比较研究
6. Using Spatial Probability Maps to Highlight Potential Inaccuracies in Deep Learning-Based Contours: Facilitating Online Adaptive Radiation Therapy [O] . Ward van Rooij, Wilko F. Verbakel, Berend J. Slotman, 2021

机译：使用空间概率图突出基于深度学习的轮廓中的潜在不准确性：促进在线自适应放射治疗
7. Evaluation of the Auto-Segmentation Performance of a Novel Online Adaptive Radiotherapy System for Head and Neck Cancer Treatment [O] . S.W. Yoon, H. Lin, M. Alonso-Basanta, 2020

机译：评价新型在线自适应放射治疗系统的自我分割性能，用于头颈癌症治疗

Evaluation of a Deep Learning-Based Auto-Segmentation Tool for Online Adaptive Radiation Therapy

著录项

引文网络

相似文献

相关主题

期刊订阅