The design and implementation of an ontology-based medical image resource base platform system

被引：0

作者：

Zhu, Xinhua ^{[1
]}

Zhao, Dazhe ^{[2
]}

Yu, Yaxin ^{[1
]}

Liu, Jiren ^{[1
]}

机构：

[1] Northeastern Univ, Shenyang, Liaoning, Peoples R China

[2] Neusoft Res, Neusoft Grp, Shenyang, Liaoning, Peoples R China

来源：

INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY | 2006年 / 1卷

关键词：

Ontology; Semantic gap; Feature extraction; Image retrieval;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

How to construct a high performance medical image resources base platform system-Medical image resource base platform system is described in this paper Based on ontology, vocabularies in the domain of medical image are unified, which compensates the semantic gap between system and user. By means of query navigation and feedback processing of query result, the system can understand user intention more efficiently. The experiment results show that the system achieves high recall and precision ratio.

引用

页码：126 / 128

页数：3

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