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Proceedings Paper

Adaptive coding algorithm for a mammogram image database
Author(s): Isabelle E. Magnin; Olivier Baudin; Atilla M. Baskurt; D. Vray; Alain Bremond
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Paper Abstract

The image data base SENOBASE, including 400 documented digital images, is proposed and described. A set of 100 images, extracted from SENOBASE, is then coded using an adaptive DCT coding technique. This method takes into account the main characteristics of mammograms, mainly their low contrast and their complex structure. A systematic evaluation study is performed by an expert, in order to evaluate the image content after the coding and decoding steps. The result is analyzed in terms of diagnosis performance.

Paper Details

Date Published: 29 July 1993
PDF: 7 pages
Proc. SPIE 1905, Biomedical Image Processing and Biomedical Visualization, (29 July 1993); doi: 10.1117/12.148687
Show Author Affiliations
Isabelle E. Magnin, URA CNRS/INSA (France)
Olivier Baudin, URA CNRS/INSA (France)
Atilla M. Baskurt, URA CNRS/INSA (France)
D. Vray, URA CNRS/INSA (France)
Alain Bremond, Hospital Edouard-Herriot (France)


Published in SPIE Proceedings Vol. 1905:
Biomedical Image Processing and Biomedical Visualization
Raj S. Acharya; Dmitry B. Goldgof, Editor(s)

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