Clinical applicability of deep learning-based respiratory signal prediction models for four-dimensional radiation therapy

Clinical applicability of deep learning-based respiratory signal prediction models for four-dimensional radiation therapy

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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...

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Bibliographic Details
Main Authors: Sangwoon Jeong, Wonjoong Cheon, Sungkoo Cho, Youngyih Han
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9578620/?tool=EBI

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