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Updated: May 5, 2026

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OGTCN-E-MGO: un marco de aprendizaje profundo optimizado para la detección de esquizofrenia basada en EEG

V Milner Paul^1,2, Adarsh V Parekkattil³, Devika S Kumar⁴

¹Department of Electrical Engineering, National Institute of Technology Manipur (NITM), Imphal, India. 19404004.phd@nitmanipur.ac.in.

Physical and engineering sciences in medicine

|January 5, 2026

Resumen

No abstract available in PubMed .

Palabras clave:

Aprendizaje profundo en el cuidado de la salud Análisis de la señal EEG El electroencefalograma Red convolucional temporal con puertas optimizadas Diagnóstico de la esquizofrenia

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