Feasibility study of adaptive radiotherapy for esophageal cancer using artificial intelligence autosegmentation based on MR-Linac

OBJECTIVE: We proposed a scheme for automatic patient-specific segmentation in Magnetic Resonance (MR)-guided online adaptive radiotherapy based on daily updated, small-sample deep learning models to address the time-consuming delineation of the region of interest (ROI) in the adapt-to-shape (ATS) w...

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Detalles Bibliográficos
Autores principales: Wang, Huadong, Liu, Xin, Song, Yajun, Yin, Peijun, Zou, Jingmin, Shi, Xihua, Yin, Yong, Li, Zhenjiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289262/
https://www.ncbi.nlm.nih.gov/pubmed/37361583
http://dx.doi.org/10.3389/fonc.2023.1172135

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10289262/
https://www.ncbi.nlm.nih.gov/pubmed/37361583
http://dx.doi.org/10.3389/fonc.2023.1172135

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