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A feasibility study on an automated method to generate patient‐specific dose distributions for radiotherapy using deep learning
PURPOSE: To develop a method for predicting optimal dose distributions, given the planning image and segmented anatomy, by applying deep learning techniques to a database of previously optimized and approved Intensity‐modulated radiation therapy treatment plans. METHODS: Eighty cases of early‐stage...
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| Pubblicato in: | Med Phys |
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| Autori principali: | , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
John Wiley and Sons Inc.
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7379709/ https://ncbi.nlm.nih.gov/pubmed/30367492 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mp.13262 |
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