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Effect of Speckle Filtering in the Performance of Segmentation of Ultrasound Images Using CNNs

dc.contributor.authorRomero-Mercado, Caleb D.
dc.contributor.authorContreraz-Ortiz, Sonia H.
dc.contributor.authorMarrugo, Andres G.
dc.date.accessioned2023-07-19T12:57:15Z
dc.date.available2023-07-19T12:57:15Z
dc.date.issued2022
dc.date.submitted2023
dc.identifier.citationRomero-Mercado, C. D., Contreras-Ortiz, S. H., & Marrugo, A. G. (2022, November). Effect of Speckle Filtering in the Performance of Segmentation of Ultrasound Images Using CNNs. In Workshop on Engineering Applications (pp. 150-159). Cham: Springer Nature Switzerland.spa
dc.identifier.urihttps://hdl.handle.net/20.500.12585/12161
dc.description.abstractThe convolutional neural networks (CNNs) as tools for ultrasound image segmentation often have their performance affected by the low signal-to-noise ratio of the images. This prevents a correct classification and extraction of relevant information and therefore affects clinical diagnosis. We propose a study of the effect of different speckle filtering methods on CNN performance. For the proposed metrics (Jaccard coefficient and BF-Score), it was obtained that the SRAD filter exhibited the best behavior even in the lowest quality data. In addition, the lowest values were obtained for the standard deviation and variance, which translates into lower data dispersion, better repeatability, and, therefore, greater confidence in its accuracy. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.spa
dc.format.extent9 páginas
dc.format.mimetypeapplication/pdfspa
dc.language.isoengspa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.sourceCommunications in Computer and Information Sciencespa
dc.titleEffect of Speckle Filtering in the Performance of Segmentation of Ultrasound Images Using CNNsspa
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datacite.rightshttp://purl.org/coar/access_right/c_abf2spa
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dc.type.driverinfo:eu-repo/semantics/articlespa
dc.type.hasversioninfo:eu-repo/semantics/draftspa
dc.identifier.doi10.1007/978-3-031-20611-5_13
dc.subject.keywordsPhotoacoustic Tomography;spa
dc.subject.keywordsThermoacoustics;spa
dc.subject.keywordsEchographyspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.ccAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.identifier.instnameUniversidad Tecnológica de Bolívarspa
dc.identifier.reponameRepositorio Universidad Tecnológica de Bolívarspa
dc.publisher.placeCartagena de Indiasspa
dc.subject.armarcLEMB
dc.type.spahttp://purl.org/coar/resource_type/c_6501spa
oaire.resourcetypehttp://purl.org/coar/resource_type/c_6501spa


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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.