Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization

Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization

Malaria disease can indeed be fatal if not identified and treated promptly. Due to advancements in the malaria diagnostic process, microscopy techniques are employed for blood cell analysis. Unfortunately, the diagnostic process of malaria via microscopy depends on microscopic skills. To overcome su...

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Bibliographic Details
Main Authors:	Javeria Amin, Muhammad Almas Anjum, Abraz Ahmad, Muhammad Irfan Sharif, Seifedine Kadry, Jungeun Kim
Format:	Article
Language:	English
Published:	PeerJ Inc. 2024-01-01
Series:	PeerJ Computer Science
Subjects:	PHOG GNDO SVM KNN Ensemble Malaria
Online Access:	https://peerj.com/articles/cs-1744.pdf

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