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Automatic evaluation of contours in radiotherapy planning utilising conformity indices and machine learning
BACKGROUND AND PURPOSE: Peer-review of Target Volume (TV) and Organ at Risk (OAR) contours in radiotherapy planning are typically conducted visually; this can be time consuming and subject to interobserver variation. This study investigated automatic evaluation of contouring using conformity indices...
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| 出版年: | Phys Imaging Radiat Oncol |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Elsevier
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7807884/ https://ncbi.nlm.nih.gov/pubmed/33458359 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.phro.2020.10.008 |
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