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  4. Content-based medical image retrieval (CBMIR): An intelligent retrieval system for handling multiple organs of interest
 
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2004
Conference Paper
Title

Content-based medical image retrieval (CBMIR): An intelligent retrieval system for handling multiple organs of interest

Abstract
A medical image usually contains images of several organs, with each organ being unique. It is a prerequisite for a physician to attentively examine more than one organ, so-called organs of interest. In this paper, we present an experimental design of an intelligent Content-based Medical Image Retrieval (CBMIR)for handling multiple organs of interest through three main processes. First, CBMIR identifies all such organs by comparing the images directly using the Hausdorff distance to the single, healthy organs stored in an organ database. After that, CBMIR builds image classes using neural networks and, finally, recognizes the proper class for a query image using a multicriteria optimization approach.
Author(s)
Willy, P.M.
Küfer, K.-H.
Mainwork
17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004. Proceedings  
Conference
Symposium on Computer-Based Medical Systems (CBMS) 2004  
DOI
10.1109/CBMS.2004.1311699
Language
English
Fraunhofer-Institut für Techno- und Wirtschaftsmathematik ITWM  
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