Título

An automatic algorithm for the detection of Trypanosoma cruzi parasites in blood sample images

Autor

ROGER DAVID SOBERANIS MUKUL

VICTOR EMANUEL DE ATOCHA UC CETINA

CARLOS FRANCISCO BRITO LOEZA

HUGO ANTONIO RUIZ PIÑA

Nivel de Acceso

Acceso Abierto

Licencia

http://creativecommons.org/licenses/by-nc-nd/4.0

Materias

INGENIERÍA Y TECNOLOGÍA - (CTI) CIENCIAS DE LA VIDA - (CTI) CIENCIAS DE LA VIDA - ([urn:issn:0169-2607]) Pattern recognition - ([urn:issn:0169-2607]) Image detection systems - ([urn:issn:0169-2607])

Resumen o descripción

Chagas disease is a tropical parasitic disease caused by the flagellate protozoan Trypanosomacruzi (T. cruzi) and currently affecting large portions of the Americas. One of the standard laboratory methods to determine the presence of the parasite is by direct visualization in blood smears stained with some colorant. This method is time-consuming, requires trained microscopists and is prone to human mistakes. In this article we propose a novel algorithm for the automatic detection of T. cruzi parasites, in microscope digital images obtained from peripheral blood smears treated with Wright’s stain. Our algorithm achieved a sensitivity of 0.98 and specificity of 0.85 when evaluated against a dataset of 120 test images. Experimental results show the versatility of the method for parasitemia determination.

Fecha de publicación

31 de diciembre de 2013

Tipo de publicación

Artículo

Recurso de información

http://redi.uady.mx:8080/handle/123456789/773

Formato

application/pdf

Fuente

urn:issn:0169-2607

Idioma

Inglés

Cobertura

Investigación aplicada

Audiencia

Investigadores

Repositorio Orígen

Repositorio Digital Institucional de la Universidad Autónoma de Yucatán

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