Feasibility study of deep learning‐based markerless real‐time lung tumor tracking with orthogonal X‐ray projection images

PURPOSE: The feasibility of a deep learning‐based markerless real‐time tumor tracking (RTTT) method was retrospectively studied with orthogonal kV X‐ray images and clinical tracking records acquired during lung cancer treatment. METHODS: Ten patients with lung cancer treated with marker‐implanted RT...

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Detalles Bibliográficos
Autores principales: Zhou, Dejun, Nakamura, Mitsuhiro, Mukumoto, Nobutaka, Matsuo, Yukinori, Mizowaki, Takashi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Radiation Oncology Physics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113683/
https://www.ncbi.nlm.nih.gov/pubmed/36576920
http://dx.doi.org/10.1002/acm2.13894

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10113683/
https://www.ncbi.nlm.nih.gov/pubmed/36576920
http://dx.doi.org/10.1002/acm2.13894

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