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Deep learning vs. atlas-based models for fast auto-segmentation of the masticatory muscles on head and neck CT images
BACKGROUND: Impaired function of masticatory muscles will lead to trismus. Routine delineation of these muscles during planning may improve dose tracking and facilitate dose reduction resulting in decreased radiation-related trismus. This study aimed to compare a deep learning model with a commercia...
Gorde:
| Argitaratua izan da: | Radiat Oncol |
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| Egile Nagusiak: | , , , , , , , |
| Formatua: | Artigo |
| Hizkuntza: | Inglês |
| Argitaratua: |
BioMed Central
2020
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| Gaiak: | |
| Sarrera elektronikoa: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7372849/ https://ncbi.nlm.nih.gov/pubmed/32690103 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13014-020-01617-0 |
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