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Using an external surrogate for predictor model training in real-time motion management of lung tumors
PURPOSE: Precise prediction of respiratory motion is a prerequisite for real-time motion compensation techniques such as beam, dynamic couch, or dynamic multileaf collimator tracking. Collection of tumor motion data to train the prediction model is required for most algorithms. To avoid exposure of...
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| Publicado no: | Med Phys |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Association of Physicists in Medicine
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4240775/ https://ncbi.nlm.nih.gov/pubmed/25471953 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4901252 |
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