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dc.rights.licenseAtribución-NoComercial 4.0 Internacional
dc.contributor.advisorGonzalez Osorio, Fabio Augusto (Thesis advisor)
dc.contributor.authorVanegas Ramírez, Jorge Andrés
dc.date.accessioned2019-06-25T18:22:49Z
dc.date.available2019-06-25T18:22:49Z
dc.date.issued2013-09-19
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/20025
dc.description.abstractLarge collections of medical images have become a valuable source of knowledge, taking an important role in education, medical research and clinical decision making. An important unsolved issue that is actively investigated is the efficient and effective access to these repositories. This work addresses the problem of information retrieval in large collections of biomedical images, allowing to use sample images as alternative queries to the classic keywords. The proposed approach takes advantage of both modalities: text and visual information. The main drawback of the multimodal strategies is that the associated algorithms are memory and computation intensive. So, an important challenge addressed in this work is the design of scalable strategies, that can be applied efficiently and effectively in large medical image collections. The experimental evaluation shows that the proposed multimodal strategies are useful to improve the image retrieval performance, and are fully applicable to large image repositories.
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.relation.ispartofUniversidad Nacional de Colombia Sede Bogotá Facultad de Ingeniería Departamento de Ingeniería de Sistemas e Industrial Ingeniería de Sistemas
dc.relation.ispartofIngeniería de Sistemas
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.subject.ddc0 Generalidades / Computer science, information and general works
dc.subject.ddc61 Ciencias médicas; Medicina / Medicine and health
dc.subject.ddc62 Ingeniería y operaciones afines / Engineering
dc.titleMedical Image Retrieval Using Multimodal Semantic Indexing
dc.typeTrabajo de grado - Maestría
dc.type.driverinfo:eu-repo/semantics/masterThesis
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.identifier.eprintshttp://bdigital.unal.edu.co/10274/
dc.description.degreelevelMaestría
dc.relation.referencesVanegas Ramírez, Jorge Andrés (2013) Medical Image Retrieval Using Multimodal Semantic Indexing. Maestría thesis, Universidad Nacional de Colombia.
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposalComputer vision
dc.subject.proposalInformation retrieval
dc.subject.proposalMachine learning
dc.subject.proposalMultimodal semantic indexing
dc.subject.proposalMedical images
dc.type.coarhttp://purl.org/coar/resource_type/c_bdcc
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/TM
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2


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Atribución-NoComercial 4.0 InternacionalThis work is licensed under a Creative Commons Reconocimiento-NoComercial 4.0.This document has been deposited by the author (s) under the following certificate of deposit