Chbeir R, Amghar Y, Flory A
LISI-INSA, Villeurbanne, France.
Methods Inf Med. 2001 Jul;40(3):178-83.
Image retrieval is faced with different problems. Few proposed solutions consider the heterogeneity of user competence (e.g. physicians, researchers, students, etc.) and the necessity of a high expressive power for medical image description. This paper presents a solution designed for medical imaging retrieval. It consists of providing a four-dimensional approach able to integrate different views of the medical image, to deal with complex medical queries. Via use of the Spatial Knowledge Model, we propose hybrid (textual and visual) and customizable interfaces, appropriate for non-computer scientist users. Our prototype, accessible through the Web, has been tested by a group of medical students and physicians and gives very satisfactory results.
图像检索面临着不同的问题。很少有提出的解决方案考虑到用户能力的异质性（例如医生、研究人员、学生等）以及医学图像描述所需的高表达能力。本文提出了一种针对医学成像检索的解决方案。它包括提供一种四维方法，能够整合医学图像的不同视图，以处理复杂的医学查询。通过使用空间知识模型，我们提出了适用于非计算机科学家用户的混合（文本和视觉）且可定制的界面。我们的原型可通过网络访问，已经由一组医学生和医生进行了测试，并给出了非常令人满意的结果。
