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[Estudio sobre la segmentación de imágenes dentales y la medición automática del conducto radicular basada en el

Ziqing Chen1, Qi Liu1, Jialei Wang2

  • 1School of Biomedical Engineering, Sichuan University, Chengdu 610065, P. R. China.

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
|August 31, 2025
PubMed
Resumen

Este estudio introduce un método automatizado de aprendizaje profundo para la segmentación dental y la medición del conducto radicular utilizando imágenes de tomografía computarizada de haz de cono (CBCT). La técnica avanzada ofrece resultados precisos y eficientes para el diagnóstico dental y la planificación del tratamiento.

Palabras clave:
Tomografía computarizada con haz de conoAprendizaje profundoMedición del conducto radicularSegmentación de la instancia del diente

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