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Comparing fusion techniques for the ImageCLEF 2013 medical case retrieval task

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dc.contributor.authorGarcía Seco de Herrera, Alba
dc.contributor.authorRoger Schaer
dc.contributor.authorDimitrios Markonis
dc.contributor.authorHenning Müller
dc.date.accessioned2025-03-26T14:19:54Z
dc.date.available2025-03-26T14:19:54Z
dc.date.issued2014-03-27
dc.descriptionEsta es la versión aceptada del artículo. La versión registrada fue publicada por primera vez en Computerized Medical Imaging and Graphics 39 (2015): 46-54, está disponible en línea en el sitio web del editor: Elsevier: https://doi.org/10.1016/J.COMPMEDIMAG.2014.04.004. This is the accepted version of the article. The registered version was first published in Computerized Medical Imaging and Graphics 39 (2015): 46-54, is available online at the publisher's website: Elsevier: https://doi.org/10.1016/J.COMPMEDIMAG.2014.04.004.
dc.description.abstractRetrieval systems can supply similar cases with a proven diagnosis to a new example case under observation to help clinicians during their work. The ImageCLEFmed evaluation campaign proposes a framework where research groups can compare case–based retrieval approaches. This paper focuses on the case–based task and adds results of the compound figure separation and modality classification tasks. Several fusion approaches are compared to identify the approaches best adapted to the heterogeneous data of the task. Fusion of visual and textual features is analyzed, demonstrating that the selection of the fusion strategy can improve the best performance on the case–based retrieval task.es
dc.description.versionversión final
dc.identifier.citationAlba García Seco de Herrera, Roger Schaer, Dimitrios Markonis, y Henning Müller. «Comparing fusion techniques for the ImageCLEF 2013 medical case retrieval task». Computerized Medical Imaging and Graphics 39 (2015): 46-54. https://doi.org/10.1016/J.COMPMEDIMAG.2014.04.004
dc.identifier.doihttps://doi.org/10.1016/J.COMPMEDIMAG.2014.04.004
dc.identifier.issn0895-6111; eISSN: 1879-0771
dc.identifier.urihttps://hdl.handle.net/20.500.14468/26367
dc.journal.titleComputerized Medical Imaging and Graphics
dc.journal.volume39
dc.language.isoen
dc.page.final54
dc.page.initial46
dc.publisherElsevier
dc.relation.centerE.T.S. de Ingeniería Informática
dc.relation.departmentLenguajes y Sistemas Informáticos
dc.rightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.es
dc.subject12 Matemáticas::1203 Ciencia de los ordenadores ::1203.17 Informática
dc.subject.keywordsMedical Case–based retrievalen
dc.subject.keywordsMultimodal Fusionen
dc.subject.keywordsVisual Rerankingen
dc.subject.keywordsImageCLEFen
dc.subject.keywordsmedGIFTen
dc.titleComparing fusion techniques for the ImageCLEF 2013 medical case retrieval tasken
dc.typeartículoes
dc.typejournal articleen
dspace.entity.typePublication
relation.isAuthorOfPublication33e1cf81-6a46-4cc6-828f-1c0f2a7e7497
relation.isAuthorOfPublication.latestForDiscovery33e1cf81-6a46-4cc6-828f-1c0f2a7e7497
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