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Clinical applicability of deep learning-based respiratory signal prediction models for four-dimensional radiation therapy
For accurate respiration gated radiation therapy, compensation for the beam latency of the beam control system is necessary. Therefore, we evaluate deep learning models for predicting patient respiration signals and investigate their clinical feasibility. Herein, long short-term memory (LSTM), bidir...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578620/ https://www.ncbi.nlm.nih.gov/pubmed/36256632 http://dx.doi.org/10.1371/journal.pone.0275719 |