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: | , , , , , , , |
|---|---|
| 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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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 |
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Universidad Simón Bolívar |
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Universidad Simón Bolívar |
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Repositorio Digital USB |
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Repositorio Digital USB |
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15,811543 |