A computational approach for Leishmania genus protozoa detection in bone marrow samples from patients with visceral Leishmaniasis

This article reports a three-stage computational approach for the automatic detection of Leishmania protozoan in light microphotograph from bone marrow samples extracted from patients with visceral Leishmaniasis. The first stage corresponds to the pre-processing of the microscopy images, in which in...

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Autores:
Isaza-Jaimes, Angélica
Bérmudez, Valmore
Bravo, Antonio
Sierra Castrillo, Jhoalmis
Hernández Lalinde, Juan Diego
Fossi, Cleiver A.
Flórez, Anderson
Rodríguez, Johel E.
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad Simón Bolívar
Repositorio:
Repositorio Digital USB
Idioma:
eng
OAI Identifier:
oai:bonga.unisimon.edu.co:20.500.12442/9491
Acceso en línea:
https://hdl.handle.net/20.500.12442/9491
http://doi.org/10.5281/zenodo.4426403
http://saber.ucv.ve/ojs/index.php/rev_aavft/article/view/21140
Palabra clave:
Protozoan
Leishmania
micrographics
anisotropic diffusion
gradient operator
intensity profiles
Protozoario
micrografía
difusión anisotrópica
operador de gradiente
perfiles de intensidad
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 Internacional