January 12, 2022Open Access

A machine learning-based system for detecting leishmaniasis in microscopic images

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Resumen

The developed system is accurate, fast, easy to use, and cost-effective. Therefore, artificial intelligence might be used as an alternative for the current leishmanial diagnosis methods.

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Cite This Study

Zare et al. (Wed,) studied this question.

synapsesocial.com/papers/69d7759ff44a16d01ef31299 https://doi.org/https://doi.org/10.1186/s12879-022-07029-7

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1Molecular Diagnosis of Leishmaniasis: Current Status and Future Applications2006 · 452 citations
2The use of direct agglutination test (DAT) in serological diagnosis of Ethiopian cutaneous leishmaniasis2002 · 18 citations
3Cutaneous leishmaniasis in Iran: Results from an epidemiological study in urban and rural provinces2016 · 124 citations
4Leishmania infections: Molecular targets and diagnosis2017 · 381 citations
5Leishmaniasis2016 · 21 citations

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