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Proceedings Paper

Enhancement and analysis of digital mammograms using fuzzy models
Author(s): Melanie A. Sutton; James C. Bezdek
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Paper Abstract

This paper describes our work in enhancing and analyzing digital mammograms form the digital database for screening mammography (DDSM). The DDSM will ultimately contain 3000 cases and provides a unique opportunity for researchers form around the world to compare results on a large, diverse data set. However, the size of the database and images within it require careful consideration of memory limitation issues, display device constraints, etc. We address research problems connected with the modification and application of existing fuzzy modeling approaches to this digital mammography domain. Segmentation and edge detection are sued as benchmark applications for the comparisons we make.

Paper Details

Date Published: 1 March 1998
PDF: 12 pages
Proc. SPIE 3240, 26th AIPR Workshop: Exploiting New Image Sources and Sensors, (1 March 1998); doi: 10.1117/12.300055
Show Author Affiliations
Melanie A. Sutton, Univ. of West Florida (United States)
James C. Bezdek, Univ. of West Florida (United States)


Published in SPIE Proceedings Vol. 3240:
26th AIPR Workshop: Exploiting New Image Sources and Sensors
J. Michael Selander, Editor(s)

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