Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/58286
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dc.contributor.authorHalicek, Martinen_US
dc.contributor.authorFabelo Gómez, Himar Antonioen_US
dc.contributor.authorOrtega Sarmiento, Samuelen_US
dc.contributor.authorMarrero Callicó, Gustavo Ivánen_US
dc.contributor.authorFei, Baoweien_US
dc.date.accessioned2019-12-09T18:38:21Z-
dc.date.available2019-12-09T18:38:21Z-
dc.date.issued2019en_US
dc.identifier.issn2072-6694en_US
dc.identifier.otherScopus-
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/58286-
dc.description.abstractIn contrast to conventional optical imaging modalities, hyperspectral imaging (HSI) is able to capture much more information from a certain scene, both within and beyond the visual spectral range (from 400 to 700 nm). This imaging modality is based on the principle that each material provides different responses to light reflection, absorption, and scattering across the electromagnetic spectrum. Due to these properties, it is possible to differentiate and identify the different materials/substances presented in a certain scene by their spectral signature. Over the last two decades, HSI has demonstrated potential to become a powerful tool to study and identify several diseases in the medical field, being a non-contact, non-ionizing, and a label-free imaging modality. In this review, the use of HSI as an imaging tool for the analysis and detection of cancer is presented. The basic concepts related to this technology are detailed. The most relevant, state-of-the-art studies that can be found in the literature using HSI for cancer analysis are presented and summarized, both in-vivo and ex-vivo. Lastly, we discuss the current limitations of this technology in the field of cancer detection, together with some insights into possible future steps in the improvement of this technology.en_US
dc.languageengen_US
dc.relationIdentificación Hiperespectral de Tumores Cerebrales (Ithaca)en_US
dc.relation.ispartofCancers (Basel)en_US
dc.sourceCancers (Basel) [ISSN 2072-6694], v. 11 (6), p. 756en_US
dc.subject3314 Tecnología médicaen_US
dc.subject.otherHyperspectral imagingen_US
dc.subject.otherClinical diagnosisen_US
dc.subject.otherBiomedical optical imagingen_US
dc.subject.otherCanceren_US
dc.subject.otherMedical diagnostic imagingen_US
dc.subject.otherArtificial intelligenceen_US
dc.subject.otherMachine learningen_US
dc.titleIn-vivo and ex-vivo tissue analysis through hyperspectral imaging techniques: Revealing the invisible features of canceren_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeArticleen_US
dc.identifier.doi10.3390/cancers11060756en_US
dc.identifier.scopus85069509747-
dc.identifier.isi000475351200020-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.orcid#NODATA#-
dc.contributor.authorscopusid56285163800-
dc.contributor.authorscopusid56405568500-
dc.contributor.authorscopusid57189334144-
dc.contributor.authorscopusid56006321500-
dc.contributor.authorscopusid7005499116-
dc.identifier.eissn2072-6694-
dc.identifier.issue6-
dc.description.firstpage756en_US
dc.relation.volume11en_US
dc.investigacionCiencias de la Saluden_US
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Artículoen_US
dc.contributor.daisngid6051182-
dc.contributor.daisngid2096372-
dc.contributor.daisngid1812298-
dc.contributor.daisngid506422-
dc.contributor.daisngid306847-
dc.description.numberofpages30en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Halicek, M-
dc.contributor.wosstandardWOS:Fabelo, H-
dc.contributor.wosstandardWOS:Ortega, S-
dc.contributor.wosstandardWOS:Callico, GM-
dc.contributor.wosstandardWOS:Fei, BW-
dc.date.coverdateJunio 2019en_US
dc.identifier.ulpgces
dc.description.sjr1,938
dc.description.sjrqQ1
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.orcid0000-0002-9794-490X-
crisitem.author.orcid0000-0002-7519-954X-
crisitem.author.orcid0000-0002-3784-5504-
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.fullNameMarrero Callicó, Gustavo Iván-
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