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.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA409953

Entities

People

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

Organizations

  • Rowan University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Breast Cancer
  • Cancer
  • Change Detection
  • Coefficients
  • Computer Vision
  • Decomposition
  • Demographic Cohorts
  • Detection
  • Image Processing
  • Low Pass Filters
  • Neoplasms
  • Risk
  • Risk Analysis
  • Two Dimensional
  • X Rays

Fields of Study

  • Medicine
  • Physics

Readers

  • Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.