Enhanced Detection of Leishmania Parasites in Microscopic Images Using Machine Learning Models

Enhanced Detection of Leishmania Parasites in Microscopic Images Using Machine Learning Models

Cutaneous leishmaniasis is a parasitic disease that poses significant diagnostic challenges due to the variability of results and reliance on operator expertise. This study addresses the development of a system based on machine learning algorithms to detect <i>Leishmania</i> spp. parasit...

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Bibliographic Details
Main Authors: Michael Contreras-Ramírez, Jhonathan Sora-Cardenas, Claudia Colorado-Salamanca, Clemencia Ovalle-Bracho, Daniel R. Suárez
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Sensors
Subjects:
cutaneous leishmaniasis
direct smear examination
preprocessing
segmentation
machine learning
grid search
Online Access:https://www.mdpi.com/1424-8220/24/24/8180
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