医学图像数据库：一种基于内容的检索方法。
Medical image databases: a content-based retrieval approach.
作者信息
Tagare H D, Jaffe C C, Duncan J
机构信息
Department of Diagnostic Radiology, Yale University, New Haven, CT 06510, USA.
出版信息
J Am Med Inform Assoc. 1997 May-Jun;4(3):184-98. doi: 10.1136/jamia.1997.0040184.
Abstract
Information contained in medical images differs considerably from that residing in alphanumeric format. The difference can be attributed to four characteristics: (1) the semantics of medical knowledge extractable from images is imprecise; (2) image information contains form and spatial data, which are not expressible in conventional language; (3) a large part of image information is geometric; (4) diagnostic inferences derived from images rest on an incomplete, continuously evolving model of normality. This paper explores the differentiating characteristics of text versus images and their impact on design of a medical image database intended to allow content-based indexing and retrieval. One strategy for implementing medical image databases is presented, which employs object-oriented iconic queries, semantics by association with prototypes, and a generic schema.
摘要
医学图像中包含的信息与以字母数字格式存储的信息有很大不同。这种差异可归因于四个特征：（1）从图像中可提取的医学知识的语义不精确；（2）图像信息包含形式和空间数据，这在传统语言中无法表达；（3）图像信息的很大一部分是几何的；（4）从图像得出的诊断推断基于一个不完整的、不断发展的正常模型。本文探讨了文本与图像的区别特征及其对旨在实现基于内容的索引和检索的医学图像数据库设计的影响。提出了一种实现医学图像数据库的策略，该策略采用面向对象的图标查询、通过与原型关联的语义以及通用模式。
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