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Proceedings Paper

Feature-space exploration of pathology images using content-based database visualization
Author(s): B. Lessmann; V. Hans; A. Degenhard; T. W. Nattkemper
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Paper Abstract

In this work we present a method for the interactive feature space exploration and content-based database visualization (CBDV) of medical image databases. Using Self Organizing Maps it is possible to visualize the content of a medical image database. This visualization provides the basis for an interactive visual exploration of the meaning of image features and a characterization of the database content.

Paper Details

Date Published: 17 March 2006
PDF: 9 pages
Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61445Z (17 March 2006); doi: 10.1117/12.652101
Show Author Affiliations
B. Lessmann, Univ. of Bielefeld (Germany)
V. Hans, Evangelisches Krankenhaus (Germany)
A. Degenhard, Univ. of Bielefeld (Germany)
T. W. Nattkemper, Univ. of Bielefeld (Germany)

Published in SPIE Proceedings Vol. 6144:
Medical Imaging 2006: Image Processing
Joseph M. Reinhardt; Josien P. W. Pluim, Editor(s)

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