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Conference proceeding
Enhancement and analysis of digital mammograms using fuzzy models
SPIE Proceedings 3240: 26th Applied Imagery and Pattern Recognition (AIPR): Workshop Exploiting New Image Sources and Sensors, pp.179-190
26th AIPR Workshop: Exploiting New Image Sources and Sensors (Washington, DC, United States, 1997)
1998
Web of Science ID: WOS:000072611900019
Abstract
This paper describes our work in enhancing and analyzing digital mammograms from the Digital Database for Screening Mammography (DDSM). The DDSM will ultimately contain 3000 cases and provides a unique opportunity for researchers from 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 used as benchmark applications for the comparisons we make.
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Details
- Title
- Enhancement and analysis of digital mammograms using fuzzy models
- Publication Details
- SPIE Proceedings 3240: 26th Applied Imagery and Pattern Recognition (AIPR): Workshop Exploiting New Image Sources and Sensors, pp.179-190
- Resource Type
- Conference proceeding
- Conference
- 26th AIPR Workshop: Exploiting New Image Sources and Sensors (Washington, DC, United States, 1997)
- Publisher
- SPIE Press; Bellingham, WA
- Copyright
- © SPIE Press
- Identifiers
- WOS:000072611900019; 99380090338306600
- Academic Unit
- Public Health; Usha Kundu, MD College of Health
- Language
- English