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Is there a need for biomedical CBIR systems in clinical practice?Outcomes from a usability study

机译:是否需要在临床实践中进行生物医学CBIR系统?从可用性研究中的结果

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Articles in the literature routinely describe advances in Content Based Image Retrieval (CBIR) and its potential for improving clinical practice, biomedical research and education. Several systems have been developed to address particular needs, however, surprisingly few are found to be in routine practical use. Our collaboration with the National Cancer Institute (NCI) has identified a need to develop tools to annotate and search a collection of over 100,000 cervigrams and related, anonymized patient data. One such tool developed for a projected need for retrieving similar patient images is the prototype CBIR system, called CervigramFinder, which retrieves images based on the visual similarity of particular regions on the cervix. In this article we report the outcomes from a usability study conducted at a primary meeting of practicing experts. We used the study to not only evaluate the system for software errors and ease of use, but also to explore its "user readiness", and to identify obstacles that hamper practical use of such systems, in general. Overall, the participants in the study found the technology interesting and bearing great potential; however, several challenges need to be addressed before the technology can be adopted.
机译:文献中的文章经常描述基于内容的图像检索(CBIR)的进步及其改善临床实践,生物医学研究和教育的潜力。然而,已经开发了一些系统以满足特定的需求,然而,发现令人惊讶的是,令人惊讶的是,甚至很少被发现是常规的实际用途。我们与国家癌症研究所(NCI)的合作已经确定了需要开发工具来注释和搜索超过100,000个Cervigram和相关的匿名患者数据的集合。开发用于检测类似患者图像的预计需要的这样的工具是称为CervigramFinder的原型CBIR系统,其基于Cervix上的特定区域的视觉相似性检索图像。在本文中,我们从练习专家初次会议上进行的可用性研究报告了结果。我们使用该研究不仅可以评估软件错误和易用性的系统,还可以探索其“用户准备”,并识别妨碍这种系统的实际使用的障碍。总体而言,研究中的参与者发现了技术有趣和轴承的潜力;但是,在技术可以采用之前需要解决几种挑战。

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