Genetic and evolutionary computation: medical applications

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. There is rapidly increasing interest in applying evolutionary computation to problems in medicine, but to date no text that introduces evolutionary computation in a medical context. By explaining the basic introductory theory, typical application areas and detailed implementation in one coherent volume, this book will appeal to a wide audience from software developers to medical scientists. INDICE: About the Editors List of Contributors 1. Introduction 2. Evolutionary Computation: A Brief Overview 3. A Review of Medical Applications of Genetic and Evolutionary Computation 4. Applications of GEC in Medical Imaging 4.1. Evolutionary Deformable Models for Medical Image Segmentation Chris McIntoshand Ghassan Hamarneh 4.2. Feature Selection for the Classification of Microcalcifications in Digital Mammograms using Genetic Algorithms, Sequential Searchand Class Separability Santiago E. Conant-Pablos, Rolando R. Hernández-Cisneros and Hugo Terashima-Mar1n 4.3. Hybrid Detection of Features within the Retinal Fundus using a Genetic Algorithm Vitoantonio Bevilacqua, Lucia Cariello, Simona Cambò, Domenico Daleno and Giuseppe Mastronardi 5. New Analysis of Medical Data Sets using GEC 5.1. Genetic Programming for Exploring Medical Data using Visual Spaces Julio J. Valdés, Alan J. Barton and Robert Orchard 5.2. An Interactive Search for Rules in Medical Data Using Multiobjective Evolutionary Algorithms Daniela Zaharie, Diana Lungeanu and Flavia Zamfirache 5.3. Analysis of Mammography Reports using Maximum Variation Sampling Robert M. Patton, Barbara G. Beckerman and Thomas E. Potok 6. Advanced Modelling, Diagnosis and Treatment using GEC 6.1. 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 6.2. The Objective Assessment of Visuo-spatial Ability using Implicit Context Representation Cartesian Genetic Programming Michael A. Lones and Stephen L. Smith 6.3. How Genetic Algorithms can improve Pacemaker Efficiency Laurent Dumas and Linda El Alaoui 7. The Future for Genetic and Evolutionary Computation in Medicine: Opportunities, Challenges and Rewards Appendix. Introductory Books and Useful Links

• ISBN: 978-0-470-74813-8
• Editorial: John Wiley & Sons
• Encuadernacion: Cartoné
• Páginas: 240
• Fecha Publicación: 19/11/2010
• Nº Volúmenes: 1
• Idioma: Inglés