Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/58283
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dc.contributor.authorFabelo Gómez, Himar Antonioen_US
dc.contributor.authorOrtega Sarmiento, Samuelen_US
dc.contributor.authorZbigniew Szolna,Adamen_US
dc.contributor.authorBulters, Diederiken_US
dc.contributor.authorPiñeiro, Juan F.en_US
dc.contributor.authorKabwama, Silvesteren_US
dc.contributor.authorJ-O'Shanahan, Arumaen_US
dc.contributor.authorBulstrode, Harryen_US
dc.contributor.authorBisshopp, Saraen_US
dc.contributor.authorKiran, B. Ravien_US
dc.contributor.authorRavi, Danieleen_US
dc.contributor.authorLazcano, Raquelen_US
dc.contributor.authorMadroñal, Danielen_US
dc.contributor.authorSosa Pérez, Coralia de Las Nieveen_US
dc.contributor.authorEspino, Carlosen_US
dc.contributor.authorMarquez, Marianoen_US
dc.contributor.authorPlaza Pérez, María de la Luzen_US
dc.contributor.authorCamacho Galán,Rafaelen_US
dc.contributor.authorCarrera, Daviden_US
dc.contributor.authorHernandez, Mariaen_US
dc.contributor.authorMarrero Callicó, Gustavo Ivánen_US
dc.contributor.authorMorera Molina, Jesús Manuelen_US
dc.contributor.authorStanciulescu, Bogdanen_US
dc.contributor.authorYang, Guang Zhongen_US
dc.contributor.authorSalvador Perea, Rubénen_US
dc.contributor.authorJuarez, Eduardoen_US
dc.contributor.authorSanz, Césaren_US
dc.contributor.authorSarmiento Rodríguez, Robertoen_US
dc.date.accessioned2019-12-09T18:03:06Z-
dc.date.available2019-12-09T18:03:06Z-
dc.date.issued2019en_US
dc.identifier.issn2169-3536en_US
dc.identifier.otherScopus-
dc.identifier.urihttp://hdl.handle.net/10553/58283-
dc.description.abstractThe use of hyperspectral imaging for medical applications is becoming more common in recent years. One of the main obstacles that researchers find when developing hyperspectral algorithms for medical applications is the lack of specific, publicly available, and hyperspectral medical data. The work described in this paper was developed within the framework of the European project HELICoiD (HypErspectraL Imaging Cancer Detection), which had as a main goal the application of hyperspectral imaging to the delineation of brain tumors in real-time during neurosurgical operations. In this paper, the methodology followed to generate the first hyperspectral database of in-vivo human brain tissues is presented. Data was acquired employing a customized hyperspectral acquisition system capable of capturing information in the Visual and Near InfraRed (VNIR) range from 400 to 1000 nm. Repeatability was assessed for the cases where two images of the same scene were captured consecutively. The analysis reveals that the system works more efficiently in the spectral range between 450 and 900 nm. A total of 36 hyperspectral images from 22 different patients were obtained. From these data, more than 300 000 spectral signatures were labeled employing a semi-automatic methodology based on the spectral angle mapper algorithm. Four different classes were defined: normal tissue, tumor tissue, blood vessel, and background elements. All the hyperspectral data has been made available in a public repository.en_US
dc.languageengen_US
dc.relationHypErspectraL Imaging Cancer Detection (HELiCoiD) (CONTRATO Nº 618080)en_US
dc.relationIdentificación Hiperespectral de Tumores Cerebrales (Ithaca)en_US
dc.relation.ispartofIEEE Accessen_US
dc.sourceIEEE Access [ISSN 2169-3536], v. 7, p. 39098 - 39116en_US
dc.subject3314 Tecnología médicaen_US
dc.subject.otherHyperspectral imagingen_US
dc.subject.otherCancer detectionen_US
dc.subject.otherBiomedical imagingen_US
dc.subject.otherMedical diagnostic imagingen_US
dc.subject.otherImage databasesen_US
dc.titleIn-Vivo Hyperspectral Human Brain Image Database for Brain Cancer Detectionen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACCESS.2019.2904788en_US
dc.identifier.scopus85065192048-
dc.identifier.isi000463938800001-
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dc.description.lastpage39116en_US
dc.description.firstpage39098en_US
dc.relation.volume7en_US
dc.investigacionCiencias de la Saluden_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
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dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Fabelo, H-
dc.contributor.wosstandardWOS:Ortega, S-
dc.contributor.wosstandardWOS:Szolna, A-
dc.contributor.wosstandardWOS:Bulters, D-
dc.contributor.wosstandardWOS:Pineiro, JF-
dc.contributor.wosstandardWOS:Kabwama, S-
dc.contributor.wosstandardWOS:J-O'Shanahan, A-
dc.contributor.wosstandardWOS:Bulstrode, H-
dc.contributor.wosstandardWOS:Bisshopp, S-
dc.contributor.wosstandardWOS:Kiran, BR-
dc.contributor.wosstandardWOS:Ravi, D-
dc.contributor.wosstandardWOS:Lazcano, R-
dc.contributor.wosstandardWOS:Madronal, D-
dc.contributor.wosstandardWOS:Sosa, C-
dc.contributor.wosstandardWOS:Espino, C-
dc.contributor.wosstandardWOS:Marquez, M-
dc.contributor.wosstandardWOS:Plaza, MD-
dc.contributor.wosstandardWOS:Camacho, R-
dc.contributor.wosstandardWOS:Carrera, D-
dc.contributor.wosstandardWOS:Hernandez, M-
dc.contributor.wosstandardWOS:Callico, GM-
dc.contributor.wosstandardWOS:Molina, JM-
dc.contributor.wosstandardWOS:Stanciulescu, B-
dc.contributor.wosstandardWOS:Yang, GZ-
dc.contributor.wosstandardWOS:Salvador, R-
dc.contributor.wosstandardWOS:Juarez, E-
dc.contributor.wosstandardWOS:Sanz, C-
dc.contributor.wosstandardWOS:Sarmiento, R-
dc.date.coverdate2019en_US
dc.identifier.ulpgcen_US
dc.contributor.buulpgcBU-INGen_US
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dc.description.scieSCIE
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR IUMA: Diseño de Sistemas Electrónicos Integrados para el procesamiento de datos-
crisitem.author.deptIU de Microelectrónica Aplicada-
crisitem.author.deptDepartamento de Ciencias Médicas y Quirúrgicas-
crisitem.author.deptGIR IUIBS: Patología médica-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptDepartamento de Morfología-
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 SIANI: Ingeniería biomédica aplicada a estimulación neural y sensorial-
crisitem.author.deptIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.deptDepartamento de Ciencias Médicas y Quirúrgicas-
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.orcid0000-0002-3784-5504-
crisitem.author.orcid0000-0002-4843-0507-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.parentorgIU Sistemas Inteligentes y Aplicaciones Numéricas-
crisitem.author.parentorgIU de Microelectrónica Aplicada-
crisitem.author.fullNameFabelo Gómez, Himar Antonio-
crisitem.author.fullNameOrtega Sarmiento, Samuel-
crisitem.author.fullNameZbigniew Szolna,Adam-
crisitem.author.fullNameSosa Pérez, Coralia De Las Nieve-
crisitem.author.fullNamePlaza Pérez, María De La Luz-
crisitem.author.fullNameCamacho Galán, Rafael-
crisitem.author.fullNameMarrero Callicó, Gustavo Iván-
crisitem.author.fullNameMorera Molina, Jesús Manuel-
crisitem.author.fullNameSarmiento Rodríguez, Roberto-
crisitem.project.principalinvestigatorMarrero Callicó, Gustavo Iván-
crisitem.project.principalinvestigatorMarrero Callicó, Gustavo Iván-
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