生物医学出版物中图像的挖掘：凝胶图的检测与分析
Mining Images in Biomedical Publications: Detection and Analysis of Gel Diagrams
摘要：
生物医学出版物的作者使用凝胶图像报告实验结果，例如蛋白质-蛋白质相互作用或不同条件下的蛋白质表达。凝胶图像提供了一种简洁的方式来传达这些发现，而不是所有这些都需要在文章中明确讨论。这一事实加上大量的凝胶图像及其共享的共同模式，使它们成为自动图像挖掘和解析的主要候选者。我们介绍了一种检测凝胶图像的方法，并提出了一个工作流程来分析它们。我们能够以高精度检测凝胶片段和面板，并在这些图像中识别基因名称的初步结果。虽然我们不能提供一个完整的解决方案，在这一点上，我们提出的证据表明，这种图像挖掘是可行的。
英文摘要：
Authors of biomedical publications use gel images to report experimental results such as protein-protein interactions or protein expressions under different conditions. Gel images offer a concise way to communicate such findings, not all of which need to be explicitly discussed in the article text. This fact together with the abundance of gel images and their shared common patterns makes them prime candidates for automated image mining and parsing. We introduce an approach for the detection of gel images, and present a workflow to analyze them. We are able to detect gel segments and panels at high accuracy, and present preliminary results for the identification of gene names in these images. While we cannot provide a complete solution at this point, we present evidence that this kind of image mining is feasible.
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