Breast Cancer Mass Detection Using Difference of Gaussians and Pulse Coupled Neural Networks

Abstract

CAD, serving as a second reader, has been shown to improve the success of radiologists at detecting breast cancer. This thesis will develop a new algorithm to identify masses in mammograms. The system developed for this thesis will be capable of assisting a radiologist in making decisions.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1997
Accession Number
ADA335734

Entities

People

  • Donald A. Cournoyer

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Breast Cancer
  • Computer Vision
  • Data Science
  • Databases
  • Detection
  • Electrical Engineering
  • Feature Extraction
  • Information Science
  • Machine Learning
  • Medical Personnel
  • Neoplasms
  • Neural Networks
  • Pattern Recognition
  • Physicians
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Life Cycle Cost Analysis
  • Neural Network Machine Learning.
  • Oncology and Biomarker-Based Cancer Detection.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks