Content-based image retrieval for medical imagery

被引：3
|
作者：
Pavlopoulou, C [1 ]
Kak, A [1 ]
Brodley, C [1 ]
机构：
[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
来源：
MEDICAL IMAGING 2003: PACS AND INTEGRATED MEDICAL INFORMATION SYSTEMS: DESIGN AND EVALUATION | 2003年 / 5033卷
关键词：
medical CBIF; feature design; hierarchical retrieval; interactive boundary delineation;
D O I：
10.1117/12.487802
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The main goal of content based image retrieval is to efficiently retrieve images that are visually similar to a query image. In this paper we will focus on content based image retrieval from large medical databases, outline the problems specific to this area, and describe the recent advances in the field. We will also present some of the more significant results obtained with ASSERT (Automatic Search and Selection Engine with Retrieval Tools), the content based image retrieval system. developed in our laboratory.
引用
收藏
页码：85 / 96
页数：12
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