Real-Time Respiratory Tumor Motion Prediction Based on a Temporal Convolutional Neural Network: Prediction Model Development Study

BACKGROUND: The dynamic tracking of tumors with radiation beams in radiation therapy requires the prediction of real-time target locations prior to beam delivery, as treatment involving radiation beams and gating tracking results in time latency. OBJECTIVE: In this study, a deep learning model that...

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Detalles Bibliográficos
Autores principales: Chang, Panchun, Dang, Jun, Dai, Jianrong, Sun, Wenzheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433855/
https://www.ncbi.nlm.nih.gov/pubmed/34236336
http://dx.doi.org/10.2196/27235

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8433855/
https://www.ncbi.nlm.nih.gov/pubmed/34236336
http://dx.doi.org/10.2196/27235

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