Malaria Cell Image Classification Using Compact Deep Learning Architectures on Jetson TX2

Malaria Cell Image Classification Using Compact Deep Learning Architectures on Jetson TX2

Malaria is a significant global health issue, especially in tropical regions. Accurate and rapid diagnosis is critical for effective treatment and reducing mortality rates. Traditional diagnostic methods, like blood smear microscopy, are time-intensive and prone to error. This study introduces a...

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Altres autors:	Alonso-Ramírez, Adán-Antonio, Méndez-Gurrola, Iris Iddaly, Barranco-Gutiérrez, Alejandro-Israel, Gutiérrez-López, Marcos, Prado-Olivarez, Juan, Pérez-Pinal, Francisco-Javier, Villegas-Saucillo, J. Jesús, García-Muñoz, Jorge-Alberto, García-Capulín, Carlos-Hugo
Format:	Artículo
Idioma:	en_US
Publicat:	2024
Matèries:	malaria images convolutional neural network info:eu-repo/classification/cti/7
Accés en línia:	https://doi.org/10.3390/technologies12120247 https://www.mdpi.com/2227-7080/12/12/247
Etiquetes:	Afegir etiqueta Sense etiquetes, Sigues el primer a etiquetar aquest registre!

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