Dynamic segmentation of breast tissue in digitized mammograms

J. T. Neyhart; M. D. Ciocco; R. Polikar; S. Mandayam; M. Tseng

Dynamic segmentation of breast tissue in digitized mammograms

J. T. Neyhart, M. D. Ciocco, R. Polikar, S. Mandayam, M. Tseng

Electrical Engineering

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

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

Cite this

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title = "Dynamic segmentation of breast tissue in digitized mammograms",

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.",

author = "Neyhart, {J. T.} and Ciocco, {M. D.} and R. Polikar and S. Mandayam and M. Tseng",

year = "2001",

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language = "English (US)",

volume = "3",

pages = "2669--2672",

journal = "Annual Reports of the Research Reactor Institute, Kyoto University",

issn = "0454-9244",

note = "23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society ; Conference date: 25-10-2001 Through 28-10-2001",

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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.

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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

T2 - 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society

Y2 - 25 October 2001 through 28 October 2001

ER -

Dynamic segmentation of breast tissue in digitized mammograms

Abstract

All Science Journal Classification (ASJC) codes

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Dynamic segmentation of breast tissue in digitized mammograms

Abstract

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