Genetic and evolutionary computation : medical applications / edited by Stephen Smith, Stefano Cagnoni.

Genetic and Evolutionary Computation: Medical Applications provides an overview of the range of GEC techniques being applied to medicine and healthcare in a context that is relevant not only for existing GEC practitioners but also those from other disciplines, particularly health professionals. Ther...

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Bibliographic Details
Other Authors: Smith, Stephen L., 1962-, Cagnoni, Stefano, 1961-
Format: eBook
Language:English
Published: Chichester, U.K. : Wiley, 2010.
Subjects:
Online Access:Click for online access
Table of Contents:
  • Evolutionary computation : a brief overview
  • A review of medical applications of genetic and evolutionary computation
  • Evolutionary deformable models for medical image segmentation / Chris McIntosh and Ghassan Hamarneh
  • Feature selection for the classification of microcalcifications in digital mammograms using genetic algorithms, sequential search, and class separability / Santiago E. Conant-Pablos, Rolando R. Hernández-Cisneros and Hugo Terashima-Marin
  • Hybrid detection of features within the retinal fundus using a genetic algorithm / Vitoantonio Bevilacqua [and others]
  • Genetic programming for exploring medical data using visual spaces / Julio J. Valdes, Alan J. Barton, and Robert Orchard
  • An interactive search for rules in medical data using multiobjective evolutionary algorithms / Daniela Zaharie, Diana Lungeanu, and Flavia Zamfirache
  • Analysis of mammography reports using maximum variation sampling / Robert M. Patton, Barbara G. Beckerman, and Thomas E. Potok
  • Towards an alternative to magnetic resonance imaging for vocal tract shape measurement using the principles of evolution / David M. Howard, Andy M. Tyrrell, and Crispin Cooper
  • The objective assessment of visuo-spatial ability using implicit context representation cartesian genetic programming / Michael A. Lones and Stephen L. Smith
  • How genetic algorithms can improve pacemaker efficiency / Laurent Dumas and Linda El Alaoui
  • The future for genetic and evolutionary computation in medicine : opportunities, challenges and rewards.