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 dee...

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Bibliographic Details
Main Authors: Adán-Antonio Alonso-Ramírez, Alejandro-Israel Barranco-Gutiérrez, Iris-Iddaly Méndez-Gurrola, Marcos Gutiérrez-López, Juan Prado-Olivarez, Francisco-Javier Pérez-Pinal, J. Jesús Villegas-Saucillo, Jorge-Alberto García-Muñoz, Carlos-Hugo García-Capulín
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Technologies
Subjects:
malaria
images
convolutional neural network
Online Access:https://www.mdpi.com/2227-7080/12/12/247
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