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RT-GalaDet como modelo en tiempo real para el cribado de anomalías de salud asociadas a la superficie en peces

Xiaohong Peng¹, Zhuohan Xiao¹, Yinghuai Yu²

¹College of Mathematics and Computer, Guangdong Ocean University, Zhanjiang, 524088, Guangdong, China.

Scientific reports

|February 2, 2026

Resumen

Este estudio presenta RT-GalaDet, un sistema rápido y no invasivo para el cribado de salud de peces en tiempo real. Detecta con precisión anomalías superficiales, ayudando al control de enfermedades en la acuicultura y reduciendo pérdidas económicas.

Área de la Ciencia:

Acuicultura; Monitoreo de la salud animal; Visión por computadora

Sus antecedentes:

El cribado en tiempo real de la salud de la superficie de los peces es vital para el control de enfermedades en la acuicultura. Los métodos convencionales tienen dificultades con cardúmenes activos y síntomas superficiales sutiles, a menudo requiriendo daño físico. Las pérdidas económicas en la acuicultura son significativas debido a las enfermedades de los peces.

Objetivo del estudio:

Desarrollar un método rápido, no invasivo y en tiempo real para detectar anomalías de salud asociadas a la superficie en peces. Mejorar la precisión y eficiencia del monitoreo de la salud de los peces en entornos de acuicultura. Proporcionar al personal de acuicultura alertas confiables para una intervención oportuna.

Principales métodos:

Se propuso RT-GalaDet, un modelo RT-DETR mejorado para la detección de anomalías en la superficie de peces en tiempo real. Se incorporó el modelado de espacio de estados, la mejora local y la compresión de cuello de botella ligera para un rendimiento mejorado. Se logró una inferencia en tiempo real de extremo a extremo con un diseño computacionalmente ligero.

Principales resultados:

RT-GalaDet demostró alta precisión en la detección de anomalías de salud en la superficie de los peces. Se alcanzaron métricas de rendimiento específicas, incluyendo Precisión, Recall, [Fórmula: véase el texto], [Fórmula: véase el texto] y [Fórmula: véase el texto] de [Fórmula: véase el texto], [Fórmula: véase el texto], [Fórmula: véase el texto], [Fórmula: véase el texto] y 51,98. El modelo está diseñado para un procesamiento en tiempo real computacionalmente ligero.

Conclusiones:

RT-GalaDet ofrece una solución rápida y no invasiva para el cribado de salud de peces en tiempo real. El método proporciona alertas confiables y evidencia localizada para el diagnóstico y la intervención profesional. Esta tecnología apoya la mejora de la gestión de enfermedades y la reducción de pérdidas económicas en la acuicultura.

Palabras clave:

Acuicultura Detección de síntomas en la superficie del cuerpo del pez Detección de objetos RT-DETR Modelo de espacio de estados

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