Please use this identifier to cite or link to this item: http://repositorio.ugto.mx/handle/20.500.12059/7540
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dc.rights.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0es_MX
dc.creatorURIEL CALDERON URIBEes_MX
dc.date.accessioned2022-12-06T03:19:15Z-
dc.date.available2022-12-06T03:19:15Z-
dc.date.issued2022-11-03-
dc.identifier.urihttp://repositorio.ugto.mx/handle/20.500.12059/7540-
dc.description.abstractPneumonia is a lung infection caused by a virus or bacteria. It is characterized by symptoms such as high fever, severe pain in the chest, cough, and expectoration, among others. Today, the main way to detect pneumonia is through X-ray imaging, where an expert diagnoses a patient based on features that can be seen on the images. However, this process is susceptible to errors that can lead the expert to make a false diagnosis. Computer-assisted techniques have proven to be a great tool to support the diagnosis of pneumonia. In this work, a classifier (based on the logistic regression method) was developed that allows the detection of pneumonia based on signal processing features (Kurtosis and entropy). This system generates an accuracy comparable to that generated by more robust algorithms such as neural networks.en
dc.language.isoengen
dc.publisherUniversidad de Guanajuato. Dirección de Apoyo a la Investigación y al Posgradoes_MX
dc.relationhttps://www.jovenesenlaciencia.ugto.mx/index.php/jovenesenlaciencia/article/view/3852es_MX
dc.rightsinfo:eu-repo/semantics/openAccesses_MX
dc.sourceJóvenes en la Ciencia: Congreso internacional de electrónica y cómputo aplicado 2022. Vol. 18 (2022)es_MX
dc.titleKurtosis and entropy for the automatic detection of pneumoniaen
dc.title.alternativeCurtosis y entropía para la detección automática de neumoníaes_MX
dc.typeinfo:eu-repo/semantics/articlees_MX
dc.creator.idinfo:eu-repo/dai/mx/cvu/781331es_MX
dc.subject.ctiinfo:eu-repo/classification/cti/7es_MX
dc.subject.keywordsImage processingen
dc.subject.keywordsComputer-aided diagnosisen
dc.subject.keywordsSignal processing featuresen
dc.subject.keywordsMachine learningen
dc.subject.keywordsClassification systemen
dc.subject.keywordsSignal analysisen
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_MX
dc.creator.twoSalvador Calderon Uribees_MX
Appears in Collections:Revista Jóvenes en la Ciencia

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