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Multiatlas segmentation of thoracic and abdominal anatomy with level set‐based local search

Segmentation of organs at risk (OARs) remains one of the most time‐consuming tasks in radiotherapy treatment planning. Atlas‐based segmentation methods using single templates have emerged as a practical approach to automate the process for brain or head and neck anatomy, but pose significant challen...

詳細記述

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書誌詳細
出版年:J Appl Clin Med Phys
主要な著者: Schreibmann, Eduard, Marcus, David M., Fox, Tim
フォーマット: Artigo
言語:Inglês
出版事項: John Wiley and Sons Inc. 2014
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5875508/
https://ncbi.nlm.nih.gov/pubmed/25207393
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1120/jacmp.v15i4.4468
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