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用于组织病理学数据库中灵活图像内容检索的属性概念框架表示。

A property concept frame representation for flexible image-content retrieval in histopathology databases.

作者信息

Jaulent M C, Le Bozec C, Cao Y, Zapletal E, Degoulet P

机构信息

SPIM, Faculté de Médecine, 115 rue de l'école de Médecine, 75005 Paris, France.

出版信息

Proc AMIA Symp. 2000:379-83.

Abstract

In histopathology databases, images descriptions are collections of properties provided by experts. Image content retrieval implies comparison of such properties. The objective of this work is to enrich the traditional attribute-value representation of properties in order to take into account the polymorphism and subjectivity of properties and to manage the comparison process. In this paper we define a property concept frame (PCF) representation based on fuzzy logic to handle both representation and comparison. Seven quantifiable morphological characteristics were selected from histopathological reports to illustrate the variety of fuzzy predicates and linguistic terms in properties. The PCF representation has been tested in the context of breast pathology. It is concluded that the PCF representation provides a unification scheme to retrieve in images morphological characteristics that are described in different ways. It may enhance the relevancy of applications in various contexts such as image content-based retrieval or case-based reasoning from images.

摘要

在组织病理学数据库中,图像描述是专家提供的属性集合。图像内容检索意味着对这些属性进行比较。这项工作的目标是丰富属性的传统属性-值表示,以考虑属性的多态性和主观性,并管理比较过程。在本文中,我们基于模糊逻辑定义了一种属性概念框架(PCF)表示,以处理表示和比较。从组织病理学报告中选择了七个可量化的形态特征,以说明属性中模糊谓词和语言术语的多样性。PCF表示已在乳腺病理学背景下进行了测试。得出的结论是,PCF表示提供了一种统一方案,用于检索以不同方式描述的图像形态特征。它可能会提高各种应用的相关性,如基于图像内容的检索或基于图像的案例推理。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a35e/2244023/e5d9053758a3/procamiasymp00003-0415-a.jpg

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