Computer-Aided Diagnosis of Breast Cancer: A Multi-Center Demonstrator

Abstract

The long range goal of this project is to improve the accuracy and consistency of breast cancer diagnosis by developing a Computer Aided Diagnosis (CAD) system for early prediction of breast cancer from the patient's mammographic findings and medical history. In the fifth year of this project, we have acquired 400 new cases which bring our total case database to over 2500. A user interface (developed last year) was implemented for efficient data entry with error checking. These developments continued the first specific aim of the grant: develop an ANN to predict biopsy outcome from mammographic and history findings. In this year, we continued to focus on the second specific aim: evaluate the improvement in radiologists' diagnostic performance when the computer diagnostic aid is provided. This implementation of an accurate CAD system will improve sensitivity, specificity, and consistency of breast cancer diagnosis and will provide a significant improvement in a long-term outcome for breast cancer patients.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1999
Accession Number
ADA381113

Entities

Organizations

  • Duke University Hospital

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Biomedical Research
  • Breast Cancer
  • Computer-Aided Diagnosis
  • Computers
  • Data Sets
  • Database Management Systems
  • Databases
  • Health Care
  • Health Services
  • Information Science
  • Information Systems
  • Neoplasms
  • Neural Networks
  • Predictive Modeling
  • Relational Databases
  • Sensitivity

Fields of Study

  • Medicine
  • Physics

Readers

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