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Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013.

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Kalpathy-Cramer J, de Herrera AG, Demner-Fushman D, Antani S, Bedrick S, Müller H
Comput Med Imaging Graph. 2015 Jan;39:55-61. doi: 10.1016/j.compmedimag.2014.03.004. Epub 2014 Mar 27.
Abstract: 

Medical image retrieval and classification have been extremely active research topics over the past 15 years. Within 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 evaluation campaigns. A detailed analysis of the data also highlights the value of the resources created.

Copyright © 2014 Elsevier Ltd. All rights reserved.

Kalpathy-Cramer J, de Herrera AG, Demner-Fushman D, Antani S, Bedrick S, Müller H. Evaluating performance of biomedical image retrieval systems--an overview of the medical image retrieval task at ImageCLEF 2004-2013. Comput Med Imaging Graph. 2015 Jan;39:55-61. doi: 10.1016/j.compmedimag.2014.03.004. Epub 2014 Mar 27.