Integrating plan complexity and dosiomics features with deep learning in patient-specific quality assurance for volumetric modulated arc therapy

PURPOSE: To investigate the feasibility and performance of deep learning (DL) models combined with plan complexity (PC) and dosiomics features in the patient-specific quality assurance (PSQA) for patients underwent volumetric modulated arc therapy (VMAT). METHODS: Total of 201 VMAT plans with measur...

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Detalles Bibliográficos
Autores principales: Han, Ce, Zhang, Ji, Yu, Bing, Zheng, Haoze, Wu, Yibo, Lin, Zhixi, Ning, Boda, Yi, Jinling, Xie, Congying, Jin, Xiance
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334519/
https://www.ncbi.nlm.nih.gov/pubmed/37434171
http://dx.doi.org/10.1186/s13014-023-02311-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10334519/
https://www.ncbi.nlm.nih.gov/pubmed/37434171
http://dx.doi.org/10.1186/s13014-023-02311-7

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