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

 
: Willy, P.M.; Küfer, K.-H.

:

Long, R. ; IEEE Computer Society, Technical Committee on Computational Medicine:
17th IEEE Symposium on Computer-Based Medical Systems, CBMS 2004. Proceedings : 24 - 25 June 2004, Bethesda, Maryland
Los Alamitos, Calif.: IEEE Computer Society Press, 2004
ISBN: 0-7695-2104-5
pp.103-108
Symposium on Computer-Based Medical Systems (CBMS) <17, 2004, Bethesda/Md.>
English
Conference Paper
Fraunhofer ITWM ()

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.

: http://publica.fraunhofer.de/documents/N-172495.html