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dc.contributor.authorChamoso Santos, Pablo 
dc.contributor.authorPérez Ramos, Henar
dc.contributor.authorGarcía García, Ángel
dc.date.accessioned2017-09-05T10:59:43Z
dc.date.available2017-09-05T10:59:43Z
dc.date.issued2014
dc.identifier.citationADVANCES IN DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE JOURNAL. Volumen 3 (4), pp. 48 - 57. Salamanca University Press.
dc.identifier.issn2255-2863
dc.identifier.urihttp://hdl.handle.net/10366/134326
dc.description.abstractA back of the eye examination allows performing a noninvasive evaluation of the retinal microcirculation, as well as of the vascular damage induced by multiple cardiovascular risk factors. The objective of this work is to study the existing needs to lead to the development and validation (reliability and validity) of a methodology able to extract all the information from the images of the back of the eye to solve the studied needs. Its development will subsequently allow analyzing its utility in various clinical environments. Currently there are different works that evaluate the thickness of the retinal veins and arteries, but they require either full intervention by an observer or no intervention at all, so when facing incorrect analysis (none of them achieves a 100 % accuracy in automatic analysis) erroneous results can be a serious problem when drawing conclusions. The proposed solution refers to the second group (automatic), but providing a supervisor the possibility to interfere with the analysis when any kind of error is produced, which ideally will not happen many times. Thanks to this the possible subjectivity that can be introduced by the supervisor does not affect the final result of the analysis. ALTAIR: Supervised Methodology to Obtain Retinal Vessels Caliber (PDF Download Available). Available from: https://www.researchgate.net/publication/282611032_ALTAIR_Supervised_Methodology_to_Obtain_Retinal_Vessels_Caliber [accessed Jan 25, 2016].
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSalamanca University Press
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subjectComputer Science
dc.titleALTAIR: Supervised Methodology to Obtain Retinal Vessels Caliber
dc.typeinfo:eu-repo/semantics/article
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess


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