Development of AI-driven prediction models to realize real-time tumor tracking during radiotherapy

BACKGROUND: In infrared reflective (IR) marker-based hybrid real-time tumor tracking (RTTT), the internal target position is predicted with the positions of IR markers attached on the patient’s body surface using a prediction model. In this work, we developed two artificial intelligence (AI)-driven...

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Detalles Bibliográficos
Autores principales: Zhou, Dejun, Nakamura, Mitsuhiro, Mukumoto, Nobutaka, Tanabe, Hiroaki, Iizuka, Yusuke, Yoshimura, Michio, Kokubo, Masaki, Matsuo, Yukinori, Mizowaki, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867830/
https://www.ncbi.nlm.nih.gov/pubmed/35197087
http://dx.doi.org/10.1186/s13014-022-02012-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8867830/
https://www.ncbi.nlm.nih.gov/pubmed/35197087
http://dx.doi.org/10.1186/s13014-022-02012-7

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