"
Predicting Delivery Error Using a DICOM-RT Plan for Volumetric Modulated Arc Therapy"
written by Hideharu Miura, Masao Tanooka, Masayuki Fujiwara, Yasuhiro Takada, Hiroshi Doi, Soichi Odawara, Kengo Kosaka, Norihiko Kamikonya, Shozo Hirota,
published by
International Journal of Medical Physics, Clinical Engineering and Radiation Oncology,
Vol.3 No.2, 2014
has been cited by the following article(s):
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[5]
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[7]
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|
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[8]
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DICOM-RT Plan Complexity Verification for Volumetric Modulated Arc Therapy
International Journal of Medical Physics, Clinical Engineering and Radiation Oncology,
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DOI:10.4236/ijmpcero.2014.33017
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