Image-Based Detection and Classification of Malaria Parasites and Leukocytes with Quality Assessment of Romanowsky-Stained Blood Smears

Image-Based Detection and Classification of Malaria Parasites and Leukocytes with Quality Assessment of Romanowsky-Stained Blood Smears

Malaria remains a global health concern, with 249 million cases and 608,000 deaths being reported by the WHO in 2022. Traditional diagnostic methods often struggle with inconsistent stain quality, lighting variations, and limited resources in endemic regions, making manual detection time-intensive a...

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Bibliographic Details
Main Authors: Jhonathan Sora-Cardenas, Wendy M. Fong-Amaris, Cesar A. Salazar-Centeno, Alejandro Castañeda, Oscar D. Martínez-Bernal, Daniel R. Suárez, Carol Martínez
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
malaria diagnosis
thick blood smears
image processing
support vector machines
convolutional neural networks
deep learning
Online Access:https://www.mdpi.com/1424-8220/25/2/390
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