Abstract
The percentage of radiodense tissue in a mammogram has been used as a marker for determining breast cancer risk. In this paper, we present an image segmentation technique for identifying tissue and non-tissue regions of a digitized X-ray image. This procedure constitutes a vital step prior to subsequent processing for estimating the amount of radiodense tissue. The process involves the generation of a segmentation mask developed by using discrete wavelet transform techniques. Initial results have been promising, demonstrating the feasibility of the approach.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 2669-2672 |
| Number of pages | 4 |
| Journal | Annual Reports of the Research Reactor Institute, Kyoto University |
| Volume | 3 |
| State | Published - Dec 1 2001 |
| Event | 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Istanbul, Turkey Duration: Oct 25 2001 → Oct 28 2001 |
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Mechanical Engineering
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Virtual Reality Lab
Shreekanth Mandayam (Manager) & George D. Lecakes (Manager)
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Cite this
Neyhart, J. T., Ciocco, M. D., Polikar, R., Mandayam, S., & Tseng, M. (2001). Dynamic segmentation of breast tissue in digitized mammograms. Annual Reports of the Research Reactor Institute, Kyoto University, 3, 2669-2672.