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Desarrollo de una herramienta automática de apoyo a la decisión para elegir la radioterapia de protones/fotones en

Mengyang Li1, Linyi Shen1, Xinyuan Chen1

  • 1National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Journal of applied clinical medical physics
|February 18, 2026
PubMed
Resumen

Este estudio desarrolló un método de decisión automático para seleccionar entre radioterapia de fotones y protones para pacientes con cáncer de próstata. El sistema logró una precisión del 93,75 % en la predicción de la modalidad de tratamiento óptima.

Palabras clave:
NTCPmétodo de decisión automáticoaprendizaje profundoterapia de fotonescáncer de próstataterapia de protones

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