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Technical Note: More accurate and efficient segmentation of organs‐at‐risk in radiotherapy with convolutional neural networks cascades
PURPOSE: Manual delineation of organs‐at‐risk (OARs) in radiotherapy is both time‐consuming and subjective. Automated and more accurate segmentation is of the utmost importance in clinical application. The purpose of this study is to further improve the segmentation accuracy and efficiency with a no...
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| Publicado en: | Med Phys |
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| Main Authors: | , , , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
John Wiley and Sons Inc.
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6322972/ https://ncbi.nlm.nih.gov/pubmed/30450825 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13296 |
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