Morphosemantic indexing of health-related images to improve information retrieval

被引:1
作者
Pinto, Virginia Bentes [1 ]
机构
[1] Univ Fed Ceara, Dept Ciencias Informacao, BR-60130000 Fortaleza, Ceara, Brazil
来源
HISTORIA CIENCIAS SAUDE-MANGUINHOS | 2008年 / 15卷 / 02期
关键词
morphosemantic indexing of images; indexing by visual attributes; indexing by verbal attributes; System for the Morphosemantic Retrieval and Indexation of Information from Images;
D O I
10.1590/S0104-59702008000200005
中图分类号
N09 [自然科学史]; B [哲学、宗教];
学科分类号
01 ; 0101 ; 010108 ; 060207 ; 060305 ; 0712 ;
摘要
The area of health boasts an increasingly specialized range of methods for taking images, while previously inconceivable images can now be recorded, such as of the inside of a human body, moving images of diseases, internal organs, or the way we sleep. However, these pictures are not always readily available, not only for ethical reasons, but because the information from these sources is not always processed well or even at all. This article discusses how images can be treated and organized and how this can be applied to the area of health, demonstrating a few systems.
引用
收藏
页码:313 / 330
页数:18
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