Respiratory motion prediction using deep convolutional long short-term memory network

Respiratory motion prediction using deep convolutional long short-term memory network

Background: Pulmonary movements during radiation therapy can cause damage to healthy tissues. It is necessary to adapt treatment planning based on tumor motion to avoid damage to healthy tissues. A range of approaches has been proposed to monitor the issue. A treatment planning based on fourdimensio...

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Bibliographic Details
Main Authors: Shahabedin Nabavi, Monireh Abdoos, Mohsen Ebrahimi Moghaddam, Mohammad Mohammadi
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2020-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
convolutional long short-term memory
deep neural network
lung motion
radiotherapy
respiratory motion prediction
Online Access:http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2020;volume=10;issue=2;spage=69;epage=75;aulast=Nabavi

Internet

http://www.jmssjournal.net/article.asp?issn=2228-7477;year=2020;volume=10;issue=2;spage=69;epage=75;aulast=Nabavi

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