Automatic treatment planning based on three-dimensional dose distribution predicted from deep learning technique-Reference-Cited by-同舟云学术

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Automatic treatment planning based on three-dimensional dose distribution predicted from deep learning technique

Published:2018-11-28 Issue:1 Volume:46 Page:370-381
ISSN:0094-2405
Container-title:Medical Physics
language:en
Short-container-title:Med. Phys.

Author:

Fan Jiawei¹²,Wang Jiazhou¹²,Chen Zhi¹²³,Hu Chaosu¹²,Zhang Zhen¹²,Hu Weigang¹²

Affiliation:

1. Department of Radiation Oncology; Fudan University Shanghai Cancer Center; Shanghai 200032 China

2. Department of Oncology; Shanghai Medical College; Fudan University; Shanghai 200032 China

3. Department of Medical Physics; Shanghai Proton and Heavy Ion Center; Shanghai 201321 China

Funder

National Natural Science Foundation of China

Shanghai Emerging Frontier Technology Joint Research

Publisher

Wiley

Subject

General Medicine

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mp.13271/fullpdf

Reference25 articles.

1. Intensity-modulated radiotherapy versus conventional and 3d conformal radiotherapy in patients with head and neck cancer: is there a worthwhile quality of life gain?;Tribius;Cancer Treat Rev,2011

2. Intensity-modulated radiotherapy in the standard management of head and neck cancer: promises and pitfalls;Mendenhall;J Clin Oncol,2006

3. Iterative dataset optimization in automated planning: implementation for breast and rectal cancer radiotherapy;Fan;Med Phys,2017

4. Variation in external beam treatment plan quality: an inter-institutional study of planners and planning systems;Nelms;Pract Radiat Oncol,2012

5. Quantifying unnecessary normal tissue complication risks due to suboptimal planning: a secondary study of rtog 0126;Moore;Int J Radiat Oncol Biol Phys,2015

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