Department of Medical Informatics and Clinical Epidemiology, Oregon Health and Science University, 3181 SW Sam Jackson Park Rd., BICC, Portland, OR 97239, USA.
J Digit Imaging. 2009 Dec;22(6):648-55. doi: 10.1007/s10278-008-9154-8. Epub 2008 Sep 3.
A growing number of clinicians, educators, researchers, and others use digital images in their work and search for them via image retrieval systems. Yet, this area of information retrieval is much less understood and developed than searching for text-based content, such as biomedical literature and its derivations. The goal of the ImageCLEF medical image retrieval task (ImageCLEFmed) is to improve understanding and system capability in search for medical images. In this paper, we describe the development and use of a medical image test collection designed to facilitate research with image retrieval systems and their users. We also provide baseline results with the new collection and describe them in the context of past research with portions of the collection.
越来越多的临床医生、教育工作者、研究人员和其他人员在工作中使用数字图像,并通过图像检索系统搜索图像。然而,与搜索基于文本的内容(如生物医学文献及其衍生内容)相比,信息检索的这一领域的理解和发展程度要低得多。ImageCLEF 医学图像检索任务(ImageCLEFmed)的目标是提高对医疗图像搜索的理解和系统能力。在本文中,我们描述了一个医学图像测试集的开发和使用情况,该测试集旨在促进对图像检索系统及其用户的研究。我们还提供了使用新数据集的基线结果,并在使用该数据集的部分内容进行的过去研究的背景下对其进行了描述。