Paper
17 March 2006 Feature-space exploration of pathology images using content-based database visualization
B. Lessmann, V. Hans, A. Degenhard, T. W. Nattkemper
Author Affiliations +
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.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
B. Lessmann, V. Hans, A. Degenhard, and T. W. Nattkemper "Feature-space exploration of pathology images using content-based database visualization", Proc. SPIE 6144, Medical Imaging 2006: Image Processing, 61445Z (17 March 2006); https://doi.org/10.1117/12.652101
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Cited by 7 scholarly publications.
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KEYWORDS
Visualization

Tissues

Databases

Wavelets

Pathology

Medical imaging

Tumors

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