Development of malaria diagnosis with convolutional neural network architectures: a CNN-based software for accurate cell image analysis.

Development of malaria diagnosis with convolutional neural network architectures: a CNN-based software for accurate cell image analysis.

This study emphasizes that early diagnosis and treatment of malaria is critical in reducing health problems and mortality from the disease, especially in developing countries where the disease is prevalent. Malaria is a potentially fatal disease transmitted to humans by mosquitoes infected by a blo...

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Bibliographic Details
Main Author:	Emrah ASLAN
Format:	Article
Language:	English
Published:	Institute of Technology and Education Galileo da Amazônia 2025-01-01
Series:	ITEGAM-JETIA
Online Access:	http://itegam-jetia.org/journal/index.php/jetia/article/view/1392
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