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A deep learning model for predicting xerostomia due to radiotherapy for head-and-neck squamous cell carcinoma in the RTOG 0522 clinical trial
PURPOSE: Xerostomia commonly occurs in patients who undergo head-and-neck radiotherapy and can seriously affect patients’ quality of life. In this study, we developed a xerostomia prediction model with radiation treatment data using a three-dimensional residual convolutional neural network (3D rCNN)...
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| Publicado en: | Int J Radiat Oncol Biol Phys |
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| Main Authors: | , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2019
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6732004/ https://ncbi.nlm.nih.gov/pubmed/31201897 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.ijrobp.2019.06.009 |
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