DocumentCode :
2070291
Title :
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
Link To Document :
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