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Texture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients

dc.creatorContreras Ojeda, Sara
dc.creatorSierra-Pardo C.
dc.creatorDomínguez Jiménez, Juan Antonio
dc.creatorLópez-Bueno J.
dc.creatorContreras Ortiz, Sonia Helena
dc.date.accessioned2020-03-26T16:33:04Z
dc.date.available2020-03-26T16:33:04Z
dc.date.issued2019
dc.identifier.citation2019 22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019 - Conference Proceedings
dc.identifier.isbn9781728114910
dc.identifier.urihttps://hdl.handle.net/20.500.12585/9153
dc.description.abstractPneumonia is a condition that can be life-threatening and affects a high number of children around the world. Lung ultrasound can be used for the diagnosis of pneumonia, but requires high experience. This paper presents an approach for pneumonia detection based on texture analysis of ultrasound images. Several measures were taken in healthy tissues and pneumonia lesions, and the most significant features were identified by statistical analysis. The results of the analysis of variance and exploratory analysis suggest that detection of pneumonia is possible based on image texture features. © 2019 IEEE.eng
dc.description.sponsorshipIEEE Colombia Section;IEEE Signal Processing Society Colombia Chapter;Universidad Industrial de Santander
dc.format.mediumRecurso electrónico
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourcehttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85068092598&doi=10.1109%2fSTSIVA.2019.8730238&partnerID=40&md5=8e6e8606e1550f0ed1795969ede9b409
dc.sourceScopus2-s2.0-85068092598
dc.titleTexture Analysis of Ultrasound Images for Pneumonia Detection in Pediatric Patients
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datacite.rightshttp://purl.org/coar/access_right/c_16ec
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94f
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.source.event22nd Symposium on Image, Signal Processing and Artificial Vision, STSIVA 2019
dc.type.driverinfo:eu-repo/semantics/conferenceObject
dc.type.hasversioninfo:eu-repo/semantics/publishedVersion
dc.identifier.doi10.1109/STSIVA.2019.8730238
dc.subject.keywordsPneumonia
dc.subject.keywordsTexture analysis
dc.subject.keywordsUltrasound imaging
dc.subject.keywordsDiagnosis
dc.subject.keywordsImage analysis
dc.subject.keywordsTextures
dc.subject.keywordsUltrasonic imaging
dc.subject.keywordsVision
dc.subject.keywordsExploratory analysis
dc.subject.keywordsLung ultrasound
dc.subject.keywordsPediatric patients
dc.subject.keywordsPneumonia
dc.subject.keywordsTexture analysis
dc.subject.keywordsTexture features
dc.subject.keywordsUltrasound images
dc.subject.keywordsUltrasound imaging
dc.subject.keywordsImage texture
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.ccAtribución-NoComercial 4.0 Internacional
dc.identifier.instnameUniversidad Tecnológica de Bolívar
dc.identifier.reponameRepositorio UTB
dc.relation.conferencedate24 April 2019 through 26 April 2019
dc.type.spaConferencia
dc.identifier.orcid57209529596
dc.identifier.orcid57209540733
dc.identifier.orcid56682770100
dc.identifier.orcid57209534730
dc.identifier.orcid57210822856


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Universidad Tecnológica de Bolívar - 2017 Institución de Educación Superior sujeta a inspección y vigilancia por el Ministerio de Educación Nacional. Resolución No 961 del 26 de octubre de 1970 a través de la cual la Gobernación de Bolívar otorga la Personería Jurídica a la Universidad Tecnológica de Bolívar.