Image Processing and Computer-Aided Detection in Mammographic Images

Abstract

Our prior research efforts were directed primarily towards enhancement of and automated detection in side-scan sonar images. The problems associated with these images are very similar to those with mammograms: small, low-contrast targets imbedded in high clutter but a critical requirement to avoid false positives. Our goal is to apply techniques developed for naval images to mammographic images thus making a contribution to the development of a computer-aided diagnosis capability for mammographic data. Second we want to expand the range of image processing techniques applied to naval image data by exploring and modifying methods used by medical researchers. In the process we hope to gain visibility and make contacts in the medical image processing community thus making us privy to cutting-edge methods being developed by medical researchers. Finally, in order to make our work easily accessible to other researchers we will develop and maintain an image analysis toolset with an easy to use interface that can accommodate both naval and medical images.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA542030

Entities

People

  • Cheryl M. Smith
  • Susan M. Tuovila
  • Susan R. Nelson

Organizations

  • Naval Surface Warfare Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Computer-Aided Diagnosis
  • Computers
  • Detection
  • Feature Extraction
  • Image Processing
  • Images
  • Medical Personnel
  • Patents
  • Physicians
  • Public Health
  • Software Development
  • Sonar Images
  • Surface Warfare
  • Target Classification
  • Target Detection
  • User Interface
  • Warfare

Fields of Study

  • Computer science
  • Medicine
  • Physics

Readers

  • Acoustical Oceanography.
  • Image Processing and Computer Vision.
  • Oncology and Biomarker-Based Cancer Detection.