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...
- 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