Department of Computer Science, Heriot-Watt University, Edinburgh, Scotland, EH14 4AS, UK.
Gigascience. 2013 Sep 23;2(1):12. doi: 10.1186/2047-217X-2-12.
: Image-based data integration in eHealth and life sciences is typically concerned with the method used for anatomical space mapping, needed to retrieve, compare and analyse large volumes of biomedical data. In mapping one image onto another image, a mechanism is used to match and find the corresponding spatial regions which have the same meaning between the source and the matching image. Image-based data integration is useful for integrating data of various information structures. Here we discuss a broad range of issues related to data integration of various information structures, review exemplary work on image representation and mapping, and discuss the challenges that these techniques may bring.
基于图像的数据集成在电子健康和生命科学中通常关注用于解剖空间映射的方法，该方法用于检索、比较和分析大量的生物医学数据。在将一幅图像映射到另一幅图像时，使用一种机制来匹配和找到源图像和匹配图像之间具有相同含义的相应空间区域。基于图像的数据集成可用于集成具有各种信息结构的数据。在这里，我们讨论了与各种信息结构的数据集成相关的广泛问题，回顾了图像表示和映射的范例工作，并讨论了这些技术可能带来的挑战。
