Machine learning for predicting accuracy of lung and liver tumor motion tracking using radiomic features

BACKGROUND: Internal tumor motion is commonly predicted using external respiratory signals. However, the internal/external correlation is complex and patient-specific. The purpose of this study was to develop various models based on the radiomic features of computed tomography (CT) images to predict...

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Detalles Bibliográficos
Autores principales: Li, Guangjun, Zhang, Xiangyu, Song, Xinyu, Duan, Lian, Wang, Guangyu, Xiao, Qing, Li, Jing, Liang, Lan, Bai, Long, Bai, Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006135/
https://www.ncbi.nlm.nih.gov/pubmed/36915317
http://dx.doi.org/10.21037/qims-22-621

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10006135/
https://www.ncbi.nlm.nih.gov/pubmed/36915317
http://dx.doi.org/10.21037/qims-22-621

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