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 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Energy Engineering and Power Technology
- Mechanical Engineering
Cite this
}
Dynamic segmentation of breast tissue in digitized mammograms. / Neyhart, J. T.; Ciocco, M. D.; Polikar, R.; Mandayam, S.; Tseng, M.
In: Annual Reports of the Research Reactor Institute, Kyoto University, Vol. 3, 01.12.2001, p. 2669-2672.Research output: Contribution to journal › Conference article
TY - JOUR
T1 - Dynamic segmentation of breast tissue in digitized mammograms
AU - Neyhart, J. T.
AU - Ciocco, M. D.
AU - Polikar, R.
AU - Mandayam, S.
AU - Tseng, M.
PY - 2001/12/1
Y1 - 2001/12/1
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0035781528&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0035781528&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:0035781528
VL - 3
SP - 2669
EP - 2672
JO - Annual Reports of the Research Reactor Institute, Kyoto University
JF - Annual Reports of the Research Reactor Institute, Kyoto University
SN - 0454-9244
ER -