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

Kalpathy-Cramer, J and Seco de Herrera, AG and Demner-Fushman, D and Antani, S and Bedrick, S and Müller, H (2015) '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. 55 - 61. ISSN 0895-6111

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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.

Item Type: Article
Uncontrolled Keywords: Multimodal medical retrieval, Image retrieval, Biomedical literature, Content-based retrieval, Text-based image retrieval
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
R Medicine > R Medicine (General)
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 12 Jan 2018 16:16
Last Modified: 12 Jan 2018 17:15
URI: http://repository.essex.ac.uk/id/eprint/20946

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