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BioMed Research International
Volume 2015, Article ID 489679, 13 pages
http://dx.doi.org/10.1155/2015/489679
Research Article

A Fast Neural Network Approach to Predict Lung Tumor Motion during Respiration for Radiation Therapy Applications

1Department of Instrumentation and Control Engineering, Faculty of Mechanical Engineering, Czech Technical University in Prague, 16607 Prague, Czech Republic
2Department of Radiological Imaging and Informatics, Graduate School of Medicine, Tohoku University, Sendai 980-8575, Japan
3Division on Advanced Information Technology, Yoshizawa Laboratory, Tohoku University, Sendai 980-8578, Japan

Received 3 June 2014; Accepted 1 September 2014

Academic Editor: Tsair-Fwu Lee

Copyright © 2015 Ivo Bukovsky et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Ivo Bukovsky, Noriyasu Homma, Kei Ichiji, et al., “A Fast Neural Network Approach to Predict Lung Tumor Motion during Respiration for Radiation Therapy Applications,” BioMed Research International, vol. 2015, Article ID 489679, 13 pages, 2015. https://doi.org/10.1155/2015/489679.