A fiducial-less tracking method for radiation therapy of liver tumors by diaphragm disparity analysis part 1: simulation study using machine learning through artificial neural network-Reference-Cited by-同舟云学术

A fiducial-less tracking method for radiation therapy of liver tumors by diaphragm disparity analysis part 1: simulation study using machine learning through artificial neural network

Published:2018-07-24 Issue:3 Volume:7 Page:275-284
ISSN:1948-7894
Container-title:Journal of Radiation Oncology
language:en
Short-container-title:J Radiat Oncol

Author:

Dick Deon,Wu Xiaodong,Hatoum Georges F.,Zhao Weizhao

Publisher

Springer Science and Business Media LLC

Link

http://link.springer.com/article/10.1007/s13566-018-0358-3/fulltext.html

Reference28 articles.

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2. Hallman J, Mori S, Sharp G (2012) A four-dimensional computed tomography analysis of multiorgan abdominal motion. Int J Radiat Oncol Biol Phys 83:435–441

3. Abbas H, Chang B, Chen Z (2014) Motion management in gastrointestinal cancers. J Gastrointest Oncol 5:223–235

4. Keall P, Mageras G, Balter J et al (2006) The management of respiratory motion in radiation oncology report of AAPM Task Group 76. Med Phys 33(10):3874–3900

5. Rosu M, Dawson LA, Balter JM, McShan DL, Lawrence TS, Ten Haken RK (2003) Alterations in normal liver doses due to organ motion. Int J Radiat Oncol Biol Phys 57(5):1472–1479

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