Genetic and evolutionary computation [electronic resource] : 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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Full Text (via Wiley) |
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Chichester, U.K. :
Wiley,
2010.
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| Subjects: |
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.