Abella A, Kender J R, Starren J
AT&T Bell Laboratories, Murray Hill, NJ, USA.
Proc Annu Symp Comput Appl Med Care. 1995:542-6.
In this paper we present a system for describing renal stones found in radiographs. The system generates descriptions that adhere to those generated by radiologists. The descriptions are formulated by discovering the spatial relationships that exist between the major organs and the renal stones. The system consists of three major components. The first is the image processing component which is responsible for locating the stone. The second component is the inference network minimization component which determines which spatial relationships, of all those that exist between the stone and the organs, is the most descriptive. The third component is the natural language generation component which is responsible for translating the spatial relationships into appropriate medical terminology. We will illustrate all these components on several examples.
在本文中，我们展示了一个用于描述X光片中发现的肾结石的系统。该系统生成的描述与放射科医生生成的描述一致。这些描述是通过发现主要器官与肾结石之间存在的空间关系来制定的。该系统由三个主要组件组成。第一个是图像处理组件，负责定位结石。第二个组件是推理网络最小化组件，它确定在结石与器官之间存在的所有空间关系中，哪一个最具描述性。第三个组件是自然语言生成组件，负责将空间关系翻译成适当的医学术语。我们将通过几个例子来说明所有这些组件。
