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Classifying geometric variability by dominant eigenmodes of deformation in regressing tumours during active breath hold lung cancer radiotherapy
The purpose of this study is to develop and evaluate a lung tumour interfraction geometric variability classification scheme as a means to guide adaptive radiotherapy and improve measurement of treatment response. Principal component analysis (PCA) was used to generate statistical shape models of th...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2011
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3354576/ https://ncbi.nlm.nih.gov/pubmed/22172998 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0031-9155/57/2/395 |
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