Publicación: Evaluating performance of biomedical image retrieval systems-An overview of the medical image retrieval task at ImageCLEF 2004-2013
Fecha
2015-01
Editor/a
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Coordinador/a
Prologuista
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Derechos de acceso
info:eu-repo/semantics/openAccess
Título de la revista
ISSN de la revista
Título del volumen
Editor
Elsevier
Resumen
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.
Descripción
La 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.
Categorías UNESCO
Palabras clave
Multimodal medical retrieval, Image retrieval, Biomedical literature, Content-based retrieval, Text-based image retrieval
Citación
Kalpathy-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.
Centro
Facultades y escuelas::E.T.S. de Ingeniería Informática
Departamento
Lenguajes y Sistemas Informáticos