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: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Colombia
Institución:Universidad Simón Bolívar
Repositorio:Repositorio Digital USB
Idioma:inglés
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
Access Level:acceso abierto
Palabra clave:Protozoan
Leishmania
micrographics
anisotropic diffusion
gradient operator
intensity profiles
Protozoario
micrografía
difusión anisotrópica
operador de gradiente
perfiles de intensidad
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spelling A computational approach for Leishmania genus protozoa detection in bone marrow samples from patients with visceral LeishmaniasisUn enfoque computacional para la detección de protozoos del género Leishmania en muestras de médula ósea de pacientes con leishmaniasis visceralIsaza-Jaimes, AngélicaBérmudez, ValmoreBravo, AntonioSierra Castrillo, JhoalmisHernández Lalinde, Juan DiegoFossi, Cleiver A.Flórez, AndersonRodríguez, Johel E.ProtozoanLeishmaniamicrographicsanisotropic diffusiongradient operatorintensity profilesProtozoariomicrografíadifusión anisotrópicaoperador de gradienteperfiles de intensidadThis 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 initially a low-pass filter or softener was applied to attenuate the undesired information associated with the images and preserve the edges in the objects contained in the images. The pre-processing stage concluded with the applica tion of consistent gradient operators to the smoothed images to emphasise the changes of the intensities associated with the protozoa edges by determining the gradient module. In the second stage, a procedure-oriented to the selection of regions of interest that were candidates to contain parasites in the pre-processed images was developed, based on the intensity analysis associated with a set of intensity profiles selected from the smoothed images. In the final stage, each region of interest containing protozoa was analysed on the gradient module by a technique based on polar maps, to clas sify its content as a parasite of the genus Leishmania or not. The application of the proposed computational approach to a set of samples of patients with Visceral Leishmaniasis generated a recognition parasite percentage of approximately 80%Este artículo reporta un enfoque computacional en tres etapas para la detección automática de protozoos del género Leishmania en microfotografías a partir de muestras de médula ósea extraídas de pacientes con Leishmaniasis visceral. La primera etapa correspondió al preprocesamiento de las imágenes de microscopía, en la que inicialmente se aplicó un filtro de paso bajo para atenuar la información no deseada asociada a las imágenes y preservar los bordes en los objetos. La etapa de preprocesamiento concluyó con la aplicación de operadores de gradiente a las imágenes suavizadas para enfatizar los cambios de las intensidades asociadas con los bordes de los protozoos. En la segunda etapa se elaboró un procedimiento orientado a la selección de las regiones de interés candidatas a contener parásitos, sobre la base del análisis de intensidad asociado a un conjunto de perfiles seleccionados a partir de las imágenes suavizadas. En la etapa final, cada región de interés que contenía protozoos fue analizada en el módulo de gradiente mediante una técnica basada en mapas polares de forma de clasificar su contenido como parásito del género Leishmania. La aplicación del enfoque computacional propuesto generó un porcentaje de reconocimiento del parásito de aproximadamente el 80%Saber UCV, Universidad Central de Venezuela2022-03-30T14:12:03Z2022-03-30T14:12:03Z2020info:eu-repo/semantics/articleArtículo científicoinfo:eu-repo/semantics/publishedVersionpdfapplication/pdf26107988https://hdl.handle.net/20.500.12442/9491http://doi.org/10.5281/zenodo.4426403http://saber.ucv.ve/ojs/index.php/rev_aavft/article/view/21140Revista AVFT - Archivos Venezolanos de Farmacología y TerapéuticaVol 39, No 7 (2020)reponame:Repositorio Digital USBinstname:Universidad Simón Bolívarinstacron:Universidad Simón BolívarengAttribution-NonCommercial-NoDerivatives 4.0 Internacionalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccess2022-05-13T16:11:08Z
dc.title.none.fl_str_mv A computational approach for Leishmania genus protozoa detection in bone marrow samples from patients with visceral Leishmaniasis
Un enfoque computacional para la detección de protozoos del género Leishmania en muestras de médula ósea de pacientes con leishmaniasis visceral
title A computational approach for Leishmania genus protozoa detection in bone marrow samples from patients with visceral Leishmaniasis
spellingShingle A computational approach for Leishmania genus protozoa detection in bone marrow samples from patients with visceral Leishmaniasis
Isaza-Jaimes, Angélica
Protozoan
Leishmania
micrographics
anisotropic diffusion
gradient operator
intensity profiles
Protozoario
micrografía
difusión anisotrópica
operador de gradiente
perfiles de intensidad
title_short A computational approach for Leishmania genus protozoa detection in bone marrow samples from patients with visceral Leishmaniasis
title_full A computational approach for Leishmania genus protozoa detection in bone marrow samples from patients with visceral Leishmaniasis
title_fullStr A computational approach for Leishmania genus protozoa detection in bone marrow samples from patients with visceral Leishmaniasis
title_full_unstemmed A computational approach for Leishmania genus protozoa detection in bone marrow samples from patients with visceral Leishmaniasis
title_sort A computational approach for Leishmania genus protozoa detection in bone marrow samples from patients with visceral Leishmaniasis
dc.creator.none.fl_str_mv Isaza-Jaimes, Angélica
Bérmudez, Valmore
Bravo, Antonio
Sierra Castrillo, Jhoalmis
Hernández Lalinde, Juan Diego
Fossi, Cleiver A.
Flórez, Anderson
Rodríguez, Johel E.
author Isaza-Jaimes, Angélica
author_facet Isaza-Jaimes, Angélica
Bérmudez, Valmore
Bravo, Antonio
Sierra Castrillo, Jhoalmis
Hernández Lalinde, Juan Diego
Fossi, Cleiver A.
Flórez, Anderson
Rodríguez, Johel E.
author_role author
author2 Bérmudez, Valmore
Bravo, Antonio
Sierra Castrillo, Jhoalmis
Hernández Lalinde, Juan Diego
Fossi, Cleiver A.
Flórez, Anderson
Rodríguez, Johel E.
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv Protozoan
Leishmania
micrographics
anisotropic diffusion
gradient operator
intensity profiles
Protozoario
micrografía
difusión anisotrópica
operador de gradiente
perfiles de intensidad
topic Protozoan
Leishmania
micrographics
anisotropic diffusion
gradient operator
intensity profiles
Protozoario
micrografía
difusión anisotrópica
operador de gradiente
perfiles de intensidad
description 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 initially a low-pass filter or softener was applied to attenuate the undesired information associated with the images and preserve the edges in the objects contained in the images. The pre-processing stage concluded with the applica tion of consistent gradient operators to the smoothed images to emphasise the changes of the intensities associated with the protozoa edges by determining the gradient module. In the second stage, a procedure-oriented to the selection of regions of interest that were candidates to contain parasites in the pre-processed images was developed, based on the intensity analysis associated with a set of intensity profiles selected from the smoothed images. In the final stage, each region of interest containing protozoa was analysed on the gradient module by a technique based on polar maps, to clas sify its content as a parasite of the genus Leishmania or not. The application of the proposed computational approach to a set of samples of patients with Visceral Leishmaniasis generated a recognition parasite percentage of approximately 80%
publishDate 2020
dc.date.none.fl_str_mv 2020
2022-03-30T14:12:03Z
2022-03-30T14:12:03Z
dc.type.none.fl_str_mv info:eu-repo/semantics/article
Artículo científico
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv 26107988
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
identifier_str_mv 26107988
url 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
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivatives 4.0 Internacional
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv pdf
application/pdf
dc.publisher.none.fl_str_mv Saber UCV, Universidad Central de Venezuela
publisher.none.fl_str_mv Saber UCV, Universidad Central de Venezuela
dc.source.none.fl_str_mv Revista AVFT - Archivos Venezolanos de Farmacología y Terapéutica
Vol 39, No 7 (2020)
reponame:Repositorio Digital USB
instname:Universidad Simón Bolívar
instacron:Universidad Simón Bolívar
instname_str Universidad Simón Bolívar
instacron_str Universidad Simón Bolívar
institution Universidad Simón Bolívar
reponame_str Repositorio Digital USB
collection Repositorio Digital USB
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