Bartels P H, Thompson D, Bartels H G, Montironi R, Scarpelli M, Hamilton P W
Optical Sciences Center, University of Arizona, Tucson, USA.
Pathol Res Pract. 1995 Sep;191(9):935-44. doi: 10.1016/S0344-0338(11)80979-9.
The implementation of knowledge-guided control of the processing and segmentation of histopathologic images of prostatic lesions has made automated analysis and interpretation possible. To establish correspondence between histopathologic concepts, terms and diagnostic criteria, and computed histometric entities, "interpretive transforms" are introduced. Scene segmentation is controlled by an expert system following a model-based reasoning process. The expert system is structured as an associative network with frames at each node, which controls a knowledge file and a large library of image processing algorithms.
前列腺病变组织病理学图像的处理和分割的知识引导控制的实现使得自动分析和解释成为可能。为了在组织病理学概念、术语和诊断标准与计算组织计量实体之间建立对应关系，引入了“解释变换”。场景分割由一个遵循基于模型的推理过程的专家系统控制。该专家系统被构建为一个在每个节点都有框架的关联网络，它控制一个知识文件和一个大型图像处理算法库。
