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Does a CBIR system really impact decisions of physicians in a clinical environment?

机译：CBIR系统是否真的会影响临床环境中医师的决定？

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摘要

Content-based image retrieval systems are employed in several areas. One of the most prominent area is the medical field, due to the huge volume of digital images daily generated in healthcare institutions employed for decision making. There are several works applying CBIR techniques over medical images. However, the great majority of them do not verify whether the systems are actually considered by the specialists as a pontential aid in a real environment. In order to fill this research void in the literature, this work explores user experiments in a CBIR system involving resident physicians and radiologists. To do so, we developed a CBIR system according to requirements provided by the specialists and employed a methodology to analyze the effectiveness of the system for supporting them in clinical routine. The methodology aims at evaluating the system's impact in the user's decision, inquiring the specialists about the image classification and their degree of certainty in different situations using the system. By analyzing the obtained results we can argue that the proposed methodology joined with our medical CBIR system presented a high acceptance and viability rate regarding the radiologists interests in the clinical practice domain, providing a novel approach to analyze CBIR systems under realistic conditions.
机译：基于内容的图像检索系统已在多个领域中使用。由于在决策机构中使用的医疗机构每天产生的大量数字图像，因此，医学领域是最突出的领域之一。有几篇将CBIR技术应用于医学图像的作品。但是，他们中的大多数人并没有验证专家是否真的将系统视为真实环境中的重要辅助手段。为了填补文献中的这项研究空白，这项工作探索了由驻地医师和放射科医生参与的CBIR系统中的用户实验。为此，我们根据专家提供的要求开发了CBIR系统，并采用了一种方法来分析该系统在临床常规中支持他​​们的有效性。该方法旨在评估系统对用户决策的影响，向专家询问有关使用系统的图像分类及其在不同情况下的确定程度。通过分析获得的结果，我们可以认为，所提出的方法与我们的医学CBIR系统结合使用，对于放射科医生在临床实践领域的兴趣方面具有很高的接受度和生存率，为在现实条件下分析CBIR系统提供了一种新颖的方法。

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