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Updated: Jan 20, 2026

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Una arquitectura YOLOv10 mejorada para la detección de cáncer de pulmón de alta sensibilidad y alta especificidad

Liqun Li¹, Jing Guo¹, Yunfei Li²

¹Qingdao Municipal Hospital, University of Health and Rehabilitation Sciences, Qingdao, China.

Frontiers in oncology

|January 19, 2026

Resumen

HARM-YOLO, un novedoso marco de detección de objetos, mejora significativamente la detección temprana del cáncer de pulmón en TC mediante la identificación precisa de nódulos pequeños. Este sistema basado en YOLOv10 ofrece alta sensibilidad y precisión para el diagnóstico asistido por computadora.

Conclusiones:

HARM-YOLO, un sistema basado en YOLOv10, muestra un potencial significativo como herramienta robusta y eficiente para la detección temprana del cáncer de pulmón.
La capacidad del marco para detectar con precisión nódulos pequeños y su velocidad de inferencia en tiempo real lo hacen adecuado para el cribado clínico a gran escala.
Este sistema avanzado de detección de objetos puede mejorar el diagnóstico asistido por computadora y respaldar la toma de decisiones clínicas en programas de cribado de cáncer de pulmón.

Palabras clave:

imagenología por TC YOLOv10 diagnóstico asistido por computadora detección de cáncer de pulmón detección de objetos

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