Automated Malaria Detection Using Convolutional Neural Networks and Machine Learning

Automated Malaria Detection Using Convolutional Neural Networks and Machine Learning

ABSTRACT: Millions of people suffer from malaria, considered one of the most dangerous parasitic diseases threatening human life, especially in tropical and subtropical regions. There are many challenges in using traditional diagnostic methods such as blood smear checking, which can be achieved by...

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Bibliographic Details
Main Author:	Adel Lateef Albukhnefis
Format:	Article
Language:	English
Published:	College of Education for Pure Sciences 2024-12-01
Series:	Wasit Journal for Pure Sciences
Online Access:	https://wjps.uowasit.edu.iq/index.php/wjps/article/view/576
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