Content-based Image Retrieval in Medical Applications
Methods of Information in Medicine2004Vol. 43(04), pp. 354–361
Citations Over TimeTop 1% of 2004 papers
M. O. Güld, Christian Thies, Benedikt Fischer, Klaus Spitzer, Daniel Keysers, Hermann Ney, Michael Kohnen, Henning Schubert, B. Wein, Thomas Lehmann
Abstract
Leaving-one-out experiments were distributed by the scheduler and controlled via corresponding job lists offering transparency regarding the viewpoints of a distributed system and the user. The proposed architecture is suitable for content-based image retrieval in medical applications. It improves current picture archiving and communication systems that still rely on alphanumerical descriptions, which are insufficient for image retrieval of high recall and precision.
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