A dynamic programming approach to adaptive fractionation

A dynamic programming approach to adaptive fractionation

We conduct a theoretical study of various solution methods for the adaptive fractionation problem. The two messages of this paper are as follows: (i) dynamic programming (DP) is a useful framework for adaptive radiation therapy, particularly adaptive fractionation, because it allows us to assess how...

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Bibliographic Details
Main Authors: Ramakrishnan, Jagdish (Contributor), Craft, David (Author), Bortfeld, Thomas (Author), Tsitsiklis, John N. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: 2013-10-03T20:46:05Z.
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