Computer-Aided Diagnosis and Automated Screening of Digital Mammograms.

Abstract

The primary objective of the proposed research is to develop computer techniques, methods and rigorous testing to provide reliable results which can be used by radiologists to increase diagnostic accuracy and decrease the rate of undetected cancer. First, "basic' level computer science algorithms and concepts have been developed and refined. These research topics include development of a novel algorithm for generating ROC curves for artificial neural networks, a method for multiple classifiers. These algorithms are fundamental building blocks to be used in the construction of the final system. The second general area of research is more application-specific. The topic of this research has been to develop reliable routines for segmenting mammographic abnormalities using texture features, as opposed to contrast or pixel intensity features.

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Document Details

Document Type
Technical Report
Publication Date
Sep 29, 1995
Accession Number
ADA303517

Entities

People

  • Kevin S. Woods

Organizations

  • University of South Florida

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Abnormalities
  • Accuracy
  • Algorithms
  • Character Recognition
  • Computer Science
  • Computer-Aided Diagnosis
  • Computers
  • Contrast
  • Data Sets
  • Detection
  • Feature Selection
  • Image Processing
  • Machine Learning
  • Materials
  • Neural Networks
  • Test Sets
  • Two Dimensional

Fields of Study

  • Computer science
  • Medicine

Readers

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

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks