Pattern Recognition, Simulation, and Decision-Making,

Abstract

Simulation techniques are applied to a biomedical pattern recognition application: radioisotope scanning. Results of a simulation experiment are presented for an idealized model of this application. A description of simulation as a process is given along with an abstract framework which identifies its key constituent elements. One of these, the evaluation criterion, is discussed and its important role in practical simulation experiments is delineated. An example of this criterion is given for the radioisotope scanning application, and its relationship to the theory of stopping rules is mentioned. A preliminary evaluation of the effectiveness of simulation for exploring the pattern recognition/image enhancement concepts concludes the paper. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 11, 1972
Accession Number
AD0747539

Entities

People

  • Allen Klinger
  • Inga Rynell

Organizations

  • University of California, Los Angeles

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Isotopes
  • Pattern Recognition
  • Recognition
  • Scanning
  • Simulations
  • Test And Evaluation

Readers

  • Artificial Intelligence
  • Phased Array Antenna Design.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • Biotechnology