Chagas Parasites Detection through Gaussian Discriminant Analysis

dc.coverage.spatial	Investigación aplicada
dc.creator	VICTOR EMANUEL DE ATOCHA UC CETINA
dc.creator	CARLOS FRANCISCO BRITO LOEZA
dc.creator	HUGO ANTONIO RUIZ PIÑA
dc.date	2013-06-30
dc.date.accessioned	2018-10-04T15:08:16Z
dc.date.available	2018-10-04T15:08:16Z
dc.identifier	http://intranet.matematicas.uady.mx/journal/index.php
dc.identifier.uri	http://redi.uady.mx:8080/handle/123456789/770
dc.description.abstract	Visual detection of Chagas parasites through microscopic inspection is a tedious and time-consuming task. In this paper we provide an algorithm based on Gaussian discriminant analysis for the task of Chagas parasites detection in blood sample images. We give details of the algorithm and our experimental results. With this method we obtained a true-positive rate of 0.9833 and a false-positive rate of 0.1563.
dc.language	eng
dc.publisher	Abstraction and Application
dc.relation	citation:0
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/4.0
dc.source	urn:issn:2007-2635
dc.subject	info:eu-repo/classification/cti/1
dc.subject	CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA
dc.subject	info:eu-repo/classification/cti/7
dc.subject	INGENIERÍA Y TECNOLOGÍA
dc.subject	Classification
dc.subject	Gaussian discriminant analysis
dc.title	Chagas Parasites Detection through Gaussian Discriminant Analysis
dc.type	info:eu-repo/semantics/article