Computer-Aided Diagnosis and Feature-Guided Data Reduction Systems in Mammography

Abstract

We have been developing CAD algorithms in detection of microcalcifications and masses using advanced image processing and computer vision techniques. Our CAD algorithms have provided very promising results in laboratory tests. The goals in this project are to implement our CAD algorithms in a fast workstation, develop user interfaces for efficient operation of the CAD programs, and conduct a pilot clinical trial of the CAD schemes at two mammographic screening sites. Based on the results of the pilot clinical trial, we can evaluate the sensitivity and specificity of the CAD algorithms, analyze the effects of the CAD schemes on manmographic screening, identity potential problems in a clinical environment, and develop methods to further improve the CAD schemes in the future. We believe that this is a crucial step to develop a clinically practical CAD workstation.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 2001
Accession Number
ADA405030

Entities

People

  • Heang-Ping Chan

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Energy and Power Technologies
  • Engineered Resilient Systems
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Breast Cancer
  • Computational Science
  • Computer Programming
  • Data Mining
  • Databases
  • Dimensionality Reduction
  • Feature Extraction
  • Health Services
  • Information Processing
  • Information Science
  • Machine Learning
  • Medical Personnel
  • Network Science
  • Self Organizing Systems
  • Supervised Machine Learning
  • Two Dimensional

Fields of Study

  • Medicine
  • Physics

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms