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What is the optimal input information for deep learning-based pre-treatment error identification in radiotherapy?
BACKGROUND AND PURPOSE: Deep learning (DL) provides high sensitivity for detecting and identifying errors in pre-treatment radiotherapy quality assurance (QA). This work’s objective was to systematically evaluate the impact of different dose comparison and image preprocessing methods on DL model per...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9465434/ https://www.ncbi.nlm.nih.gov/pubmed/36106060 http://dx.doi.org/10.1016/j.phro.2022.08.007 |