Content-based image retrieval from large medical databases

Author

Kak, Avi ; Pavlopoulou, Christina

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

fYear

2002

fDate

2002

Firstpage

138

Lastpage

147

Abstract

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 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 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.

Keywords

content-based retrieval; image retrieval; medical image processing; medical information systems; search engines; very large databases; visual databases; ASSERT; Automatic Search and Selection Engine with Retrieval Tools; content based image retrieval; hierarchical retrieval; interactive boundary delineation; large medical databases; medical CBIR; query image; visual similarity; Biomedical imaging; Bioreactors; Content based retrieval; Image databases; Image retrieval; Information retrieval; Medical diagnostic imaging; Shape; Spatial databases; Visual databases;

fLanguage

English

Publisher

ieee

Conference_Titel

3D Data Processing Visualization and Transmission, 2002. Proceedings. First International Symposium on

Print_ISBN

0-7695-1521-4

Type

conf

DOI

10.1109/TDPVT.2002.1024053

Filename

1024053