Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/42255
DC FieldValueLanguage
dc.contributor.authorFlorimbi, Giordana-
dc.contributor.authorFabelo, Himar-
dc.contributor.authorTorti, Emanuele-
dc.contributor.authorLazcano, Raquel-
dc.contributor.authorMadronal, Daniel-
dc.contributor.authorOrtega, Samuel-
dc.contributor.authorSalvador, Ruben-
dc.contributor.authorLeporati, Francesco-
dc.contributor.authorDanese, Giovanni-
dc.contributor.authorBáez Quevedo, Abelardo-
dc.contributor.authorCallicó, Gustavo M.-
dc.contributor.authorJuárez, Eduardo-
dc.contributor.authorSanz, César-
dc.contributor.authorSarmiento, Roberto-
dc.date.accessioned2018-10-25T08:17:05Z-
dc.date.available2018-10-25T08:17:05Z-
dc.date.issued2018-
dc.identifier.issn1424-8220-
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/42255-
dc.description.abstractThe use of hyperspectral imaging (HSI) in the medical field is an emerging approach to assist physicians in diagnostic or surgical guidance tasks. However, HSI data processing involves very high computational requirements due to the huge amount of information captured by the sensors. One of the stages with higher computational load is the K-Nearest Neighbors (KNN) filtering algorithm. The main goal of this study is to optimize and parallelize the KNN algorithm by exploiting the GPU technology to obtain real-time processing during brain cancer surgical procedures. This parallel version of the KNN performs the neighbor filtering of a classification map (obtained from a supervised classifier), evaluating the different classes simultaneously. The undertaken optimizations and the computational capabilities of the GPU device throw a speedup up to 66.18x when compared to a sequential implementation.-
dc.languageeng-
dc.publisher1424-8220-
dc.relation.ispartofSensors-
dc.sourceSensors (Switzerland)[ISSN 1424-8220],v. 18 (2314)-
dc.subject330790 Microelectrónica-
dc.subject.otherK-nearest neighbors filtering-
dc.subject.otherHyperspectral imaging instrumentation-
dc.subject.otherBrain cancer detection-
dc.subject.otherImage processing-
dc.subject.otherGraphics processing units-
dc.titleAccelerating the K-Nearest Neighbors filtering algorithm to optimize the real-time classification of human brain tumor in hyperspectral images-
dc.typeinfo:eu-repo/semantics/Article-
dc.typeArticle-
dc.identifier.doi10.3390/s18072314-
dc.identifier.scopus85050319943-
dc.identifier.isi000441334300336-
dc.contributor.authorscopusid57118346500-
dc.contributor.authorscopusid56405568500-
dc.contributor.authorscopusid56091390500-
dc.contributor.authorscopusid57192839213-
dc.contributor.authorscopusid57192829417-
dc.contributor.authorscopusid57189334144-
dc.contributor.authorscopusid23005852100-
dc.contributor.authorscopusid55937698500-
dc.contributor.authorscopusid6604051702-
dc.contributor.authorscopusid57200527135-
dc.contributor.authorscopusid56006321500-
dc.contributor.authorscopusid36447485600-
dc.contributor.authorscopusid7006751614-
dc.contributor.authorscopusid35609452100-
dc.identifier.eissn1424-8220-
dc.identifier.issue7-
dc.relation.volume18-
dc.investigacionIngeniería y Arquitectura-
dc.type2Artículo-
dc.contributor.daisngid9760694-
dc.contributor.daisngid2096372-
dc.contributor.daisngid3356516-
dc.contributor.daisngid3634522-
dc.contributor.daisngid3360488-
dc.contributor.daisngid1812298-
dc.contributor.daisngid1888017-
dc.contributor.daisngid797863-
dc.contributor.daisngid30348763-
dc.contributor.daisngid19531524-
dc.contributor.daisngid506422-
dc.contributor.daisngid693458-
dc.contributor.daisngid384271-
dc.contributor.daisngid116294-
dc.description.numberofpages20-
dc.utils.revisionNo-
dc.contributor.wosstandardWOS:Florimbi, G-
dc.contributor.wosstandardWOS:Fabelo, H-
dc.contributor.wosstandardWOS:Torti, E-
dc.contributor.wosstandardWOS:Lazcano, R-
dc.contributor.wosstandardWOS:Madronal, D-
dc.contributor.wosstandardWOS:Ortega, S-
dc.contributor.wosstandardWOS:Salvador, R-
dc.contributor.wosstandardWOS:Leporati, F-
dc.contributor.wosstandardWOS:Danese, G-
dc.contributor.wosstandardWOS:Baez-Quevedo, A-
dc.contributor.wosstandardWOS:Callico, GM-
dc.contributor.wosstandardWOS:Juarez, E-
dc.contributor.wosstandardWOS:Sanz, C-
dc.contributor.wosstandardWOS:Sarmiento, R-
dc.date.coverdateJulio 2018-
dc.identifier.ulpgces
dc.description.sjr0,592
dc.description.jcr3,031
dc.description.sjrqQ2
dc.description.jcrqQ2
dc.description.scieSCIE
item.grantfulltextopen-
item.fulltextCon texto completo-
crisitem.author.deptGIR IUMA: Diseño de Sistemas Electrónicos Integrados para el procesamiento de datos-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptGIR IUMA: Diseño de Sistemas Electrónicos Integrados para el procesamiento de datos-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptGIR IUMA: Diseño de Sistemas Electrónicos Integrados para el procesamiento de datos-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.deptGIR IUMA: Diseño de Sistemas Electrónicos Integrados para el procesamiento de datos-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptDepartamento de Ingeniería Electrónica y Automática-
crisitem.author.orcid0000-0002-9794-490X-
crisitem.author.orcid0000-0002-7519-954X-
crisitem.author.orcid0000-0003-2767-6898-
crisitem.author.orcid0000-0002-3784-5504-
crisitem.author.orcid0000-0002-4843-0507-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.fullNameFabelo Gómez, Himar Antonio-
crisitem.author.fullNameOrtega Sarmiento,Samuel-
crisitem.author.fullNameBáez Quevedo, Abelardo-
crisitem.author.fullNameMarrero Callicó, Gustavo Iván-
crisitem.author.fullNameSarmiento Rodríguez, Roberto-
Appears in Collections:Artículos
Thumbnail
Adobe PDF (32,61 MB)
Show simple item record

SCOPUSTM   
Citations

33
checked on Dec 1, 2024

WEB OF SCIENCETM
Citations

27
checked on Nov 24, 2024

Page view(s)

83
checked on Aug 17, 2024

Download(s)

113
checked on Aug 17, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.