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An Integrated Protocol for the Research and Monitoring of Cutaneous Leishmaniasis

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dc.contributor.author Zenteno, O.
dc.contributor.author Zvietcovich, F.
dc.contributor.author Zapata, D.
dc.contributor.author Maruenda, H.
dc.contributor.author Valencia, B.
dc.contributor.author Llanos, A.
dc.contributor.author Arevalo, J.
dc.contributor.author Montero, M.
dc.contributor.author Lavarello, R.
dc.contributor.author Castaneda, B.
dc.date.accessioned 2019-01-25T16:20:57Z
dc.date.available 2019-01-25T16:20:57Z
dc.date.issued 2017
dc.identifier.uri https://hdl.handle.net/20.500.12866/4810
dc.description.abstract Cutaneous Leishmaniasis is a skin infection which is commonly present in underdeveloped countries. The incidence is particularly high in amazonic countries of Latin-America like Brazil, Colombia and Perú and is usually reported as endemic. In Perú, more than one million people are at risk of infection and approximately 6,000 new cases are detected each year. The present work proposes to integrate a set of control, monitoring and disease quantification procedures in: (1) an automated tool to expedite the analysis in laboratories studying parasiticidal agents and (2) a non-invasive treatment monitoring protocol. The first, consists in the adaptation of an optical microscope KRUSS MBL3100 to perform a fast image capture and automated promastigotes identification. This may be of value to evaluate the effectiveness of various parasiticidal agents. The counting process is performed by an automatic segmentation in the RGB green color space discriminating elements by their area. The second, proposes a protocol for monitoring the evolution of the disease treatment divided into three stages: supra-skin modeling and reconstruction, subcutaneous exploration by textural characteristics and volumetric segmentation. This protocol is performed using a Next Engine HD 3D scanner and a Vevo Visualsonix 2100 ultrasonic scanner. The results show improvements in sample processing time, accuracy and inter- and intra-operational variability. The sensitivity and accuracy of the microscopic identification system was of 97% and 92% respectively. The exactitude and precision error was up to 2% and the sensitivity and specificity went as high as 71% in the 3D reconstruction and texture analysis respectively. en_US
dc.language.iso eng
dc.language.iso spa
dc.publisher IEEE
dc.relation.ispartof urn:issn:1548-0992
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject biomedical optical imaging en_US
dc.subject biomedical ultrasonics en_US
dc.subject diseases en_US
dc.subject image colour analysis en_US
dc.subject image reconstruction en_US
dc.subject image segmentation en_US
dc.subject image texture en_US
dc.subject medical image processing en_US
dc.subject patient treatment en_US
dc.subject skin en_US
dc.title An Integrated Protocol for the Research and Monitoring of Cutaneous Leishmaniasis en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.1109/TLA.2017.8070422
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#3.02.00 es_PE
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#2.02.01
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#1.02.01

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