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A novel algorithm for detection of tuberculosis bacilli in sputum smear fluorescence images

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dc.contributor.author Dianderas, E.
dc.contributor.author Del Carpio, C.
dc.contributor.author Zimic, M.
dc.contributor.author Sheen, P.
dc.contributor.author Coronel, J.
dc.contributor.author Lavarello, R.
dc.contributor.author Kemper, G.
dc.date.accessioned 2020-12-14T16:06:20Z
dc.date.available 2020-12-14T16:06:20Z
dc.date.issued 2020
dc.identifier.uri https://hdl.handle.net/20.500.12866/8699
dc.description.abstract This work proposes an algorithm aimed at recognizing and accounting Koch bacilli in digital images of microbiological sputum samples stained with auramine, in order to determine the degree of concentration and the state of the disease (tuberculosis). The algorithm was developed with the main objective of maximizing the sensitivity and specificity of the analysis of microbiological samples (recognition and counting of bacilli) according to each preparation method (direct and diluted pellets) in order to reduce the subjectivity of the visual inspection applied by the specialist at the time of analyzing the samples. The proposed algorithm consists of a background removal, an image improvement stage based on consecutive morphological closing operations, a segmentation stage of objects of interest based on thresholdization and a classification stage based on SVM. Each algorithmic stage was developed taking into account the method of preparation of the sample to be processed, being this aspect the main contribution of the proposed work, since it was possible to achieve very satisfactory results in terms of specificity and sensitivity. In this context, sensitivity levels of 91.24% and 93.79% were obtained. Specificity levels of 90.33% and 94.85% were also achieved for direct and diluted pellet methods respectively. en_US
dc.language.iso eng
dc.publisher Institute of Advanced Engineering and Science
dc.relation.ispartof urn:issn:2088-8708
dc.rights info:eu-repo/semantics/restrictedAccess
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject UNAVAILABLE en_US
dc.title A novel algorithm for detection of tuberculosis bacilli in sputum smear fluorescence images en_US
dc.type info:eu-repo/semantics/article
dc.identifier.doi https://doi.org/10.11591/ijece.v10i6.pp5665-5677
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#1.02.01
dc.subject.ocde https://purl.org/pe-repo/ocde/ford#2.02.01

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