Genetic and evolutionary computation medical applications

Detalles Bibliográficos
Otros Autores: Smith, Stephen L., 1962- (-), Cagnoni, Stefano, 1961-
Formato: Libro electrónico
Idioma:Inglés
Publicado: Chichester, U.K. : Wiley 2010.
Materias:
Acceso en línea:https://recursos.uloyola.es/login?url=https://accedys.uloyola.es:8443/accedix0/sitios/ebook.php?id=179635
Ver en Universidad Loyola - Universidad Loyola Granada:https://colectivo.uloyola.es/Record/ELB179635
Solicitar por préstamo interbibliotecario: Correo
Tabla de Contenidos:
  • 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 ... [et al.]
  • 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.