Advanced Methods for the Computer-Aided Diagnosis of Lesions in Digital Mammograms

Abstract

The objective of the proposed research is to develop computer-aided diagnosis methods for use in mammography in order to increase the diagnostic accuracy of radiologists and to aid in mammographic screening programs. We have increased the detection accuracy of our computerized method by incorporating temporal information and by developing a new single-image detection method. We have also investigated methods for feature selection and feature merging (classifiers) when only limited datasets are available. We have also continued to implement and investigate the use of out clinical prototype intelligent workstation.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1999
Accession Number
ADA385676

Entities

People

  • Maryellen Lissak Giger

Organizations

  • University of Chicago

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Accuracy
  • Artificial Intelligence
  • Breast Cancer
  • Computer Vision
  • Computer-Aided Diagnosis
  • Computers
  • Detection
  • Feature Extraction
  • Feature Selection
  • Health Services
  • Information Processing
  • Information Science
  • Machine Learning
  • Medical Personnel
  • Neoplasms
  • Neural Networks
  • Probabilistic Models

Fields of Study

  • Medicine
  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Oncology and Biomarker-Based Cancer Detection.