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Compresión paramétrica de wavelets inicializada con Haar con CNN ligera impulsada por atención para la clasificación

Neena K A1, Anil Kumar1

  • 1Department of Electronics and Communication Engineering, APJ Abdul Kalam Technological University, Federal Institute of Science and Technology, Thiruvananthapuram, Kerala, 695016, INDIA.

Biomedical physics & engineering express
|January 13, 2026
PubMed
Resumen

Este estudio presenta un marco de IA híbrido novedoso para la identificación precisa de tumores cerebrales a partir de resonancias magnéticas comprimidas. El modelo logra una precisión del 96%, superando los métodos existentes y siendo eficiente para la implementación en tiempo real en el borde.

Palabras clave:
Red Neuronal Convolucional (CNN)Extracción de características en el dominio de la frecuenciaImagen por Resonancia Magnética (RM)Autoatención de Múltiples CabezalesTransformada Paramétrica de Wavelets (PWT)Implementación en Raspberry Pi

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