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A Novel Machine Learning Model for Dose Prediction in Prostate Volumetric Modulated Arc Therapy Using Output Initialization and Optimization Priorities
Treatment planning for prostate volumetric modulated arc therapy (VMAT) can take 5–30 min per plan to optimize and calculate, limiting the number of plan options that can be explored before the final plan decision. Inspired by the speed and accuracy of modern machine learning models, such as residua...
שמור ב:
| הוצא לאור ב: | Front Artif Intell |
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| Main Authors: | , , , |
| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
Frontiers Media S.A.
2021
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| נושאים: | |
| גישה מקוונת: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8103207/ https://ncbi.nlm.nih.gov/pubmed/33969289 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/frai.2021.624038 |
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