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

Abstract

We have performed extensive evaluation of the computer detection programs and the GUI this year. The mass detection program has been evaluated with over 300 mammograms at the University of Michigan and the Georgetown University. The microcalcification detection program was evaluated with 260 mammograms. The small-scale reading experiment simulating the pilot CAD reading of screening mammograms by four experienced mammography radiologists, we found that the CAD could improve the detection of cancer cases, but there might be a very small increase in the call-back rate. We expect that the pilot clinical study will provide information if the increase is statistically significant. Two CADView workstations have been implemented at the University of Michigan and the Georgetown University. The pilot clinical study in our off-line screening mammography clinics has begun and will collect data for the analysis of the effects of CAD on radiologists' reading.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1999
Accession Number
ADA381681

Entities

People

  • Heang-pint Chan

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Breast Cancer
  • Computational Science
  • Computer Vision
  • Computers
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Diagnostic Imaging
  • Health Services
  • Information Processing
  • Information Science
  • Medical Personnel
  • Operating Systems
  • Pattern Recognition
  • Self Organizing Systems

Fields of Study

  • Physics

Readers

  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Oncology and Biomarker-Based Cancer Detection.
  • Research Science/Academic Research