Content-based image retrieval from large medical databases

被引：13

作者：

Kak, A ^{[1
]}

Pavlopoulou, C ^{[1
]}

机构：

[1] Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA

来源：

FIRST INTERNATIONAL SYMPOSIUM ON 3D DATA PROCESSING VISUALIZATION AND TRANSMISSION | 2002年

关键词：

medical CBIR; feature design; hierarchical retrieval; interactive boundary delineation;

D O I：

10.1109/TDPVT.2002.1024053

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

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

页码：138 / 147

页数：10