Automatic annotation of medical images is an important task allowing medical practitioners to access image data using textual queries. As part of ImageCLEF 2007, an automatic medical image annotation benchmark evaluation was performed with great interest.
The medical annotation task was first executed in ImageCLEF in 2005 and 2006. In 2007, the task comprised 11,000 training and 1,000 test images which had to be annotated according to a multi-axial, mono-hierarchical code.
With this special issue, we wish to summarize the efforts made in order to run the evaluations and the methods that were applied to solve the task. We wish to explore the effectiveness of the methods and give an insight into the problems that are still not solved:
This special issue of Pattern Recognition Letters is inviting contributions from the participants of the ImageCLEF automatic medical image annotation tasks of 2005, 2006, and 2007. It will focus on the results from 2007 and the issues surrounding it.
Pattern Recognition Letters aims at rapid publication of concise articles of a broad interest in pattern recognition. Pattern Recognition Letters is published by Elsevier. More information on this journal can be found at http://www.elsevier.com/locate/patrec.
Papers should be submitted through the manuscript management system at http://ees.elsevier.com/patrec/. Formatted according to the guidelines available from that site. Papers should be submitted to the online system, selecting the "IMAGECLEF 2007" special issue as article type.
This call for papers is available online at http://www.imageclef.org/?q=prlsi
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| Call for papers in PDF format | 37.9 KB |