Kalpathy-Cramer, JayashreeGarcía Seco de Herrera, AlbaDemner-Fushman, DinaAntani, SameerBedrick, StevenMüller, Henning2025-03-262025-03-262015-01Kalpathy-Cramer, Jayashree, Alba García Seco de Herrera, Dina Demner-Fushman, Sameer Antani, Steven Bedrick, y Henning Müller. «Evaluating performance of biomedical image retrieval systems-An overview of the medical image retrieval task at ImageCLEF 2004-2013». Computerized Medical Imaging and Graphics 39 (2015): 55-61. https://doi.org/10.1016/J.COMPMEDIMAG.2014.03.004.0895-6111; eISSN: 1879-0771https://doi.org/10.1016/J.COMPMEDIMAG.2014.03.004https://hdl.handle.net/20.500.14468/26365La versión registrada de este artículo, publicado por primera vez en Computerized Medical Imaging and Graphics 39 (2015): 55-61, está disponible en línea en el sitio web del editor: Elsevier: https://doi.org/10.1016/J.COMPMEDIMAG.2014.03.004. The registered version of this article, first published in Computerized Medical Imaging and Graphics 39 (2015): 55-61, is available online at the publisher's website: Elsevier: https://doi.org/10.1016/J.COMPMEDIMAG.2014.03.004.Medical image retrieval and classification have been extremely active research topics over the past 15 years. With the ImageCLEF benchmark in medical image retrieval and classification a standard test bed was created that allows researchers to compare their approaches and ideas on increasingly large and varied data sets including generated ground truth. This article describes the lessons learned in ten evaluations campaigns. A detailed analysis of the data also highlights the value of the resources created.eninfo:eu-repo/semantics/openAccess12 Matemáticas::1203 Ciencia de los ordenadores ::1203.17 InformáticaartículoMultimodal medical retrievalImage retrievalBiomedical literatureContent-based retrievalText-based image retrieval