DVHnet: A deep learning‐based prediction of patient‐specific dose volume histograms for radiotherapy planning-Reference-Cited by-同舟云学术

DVHnet: A deep learning‐based prediction of patient‐specific dose volume histograms for radiotherapy planning

Published:2021-04-18 Issue:6 Volume:48 Page:2705-2713
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Chen Xinyuan¹,Men Kuo¹,Zhu Ji¹,Yang Bining¹,Li Minghui¹,Liu Zhiqiang¹,Yan Xuena¹,Yi Junlin¹,Dai Jianrong¹

Affiliation:

1. National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital Chinese Academy of Medical Sciences and Peking Union Medical College Beijing100021China

Funder

National Natural Science Foundation of China

Beijing Nova Program

Publisher

Wiley

Subject

General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/mp.14758

Reference37 articles.

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2. IMRT treatment planning—A comparative inter-system and inter-centre planning exercise of the ESTRO QUASIMODO group

3. Intensity-Modulated Radiation Therapy Dose Prescription, Recording, and Delivery: Patterns of Variability Among Institutions and Treatment Planning Systems

4. Variations in the Contouring of Organs at Risk: Test Case From a Patient With Oropharyngeal Cancer

5. Multicentre quality assurance of intensity-modulated radiation therapy plans: A precursor to clinical trials

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