Genetic and Evolutionary Computation: Medical Applications

Genetic and Evolutionary Computation: Medical Applications

Editor(s): Stephen L. Smith, Stefano Cagnoni

Published Online: 3 DEC 2010 02:49AM EST

Print ISBN: 9780470748138

Online ISBN: 9780470973134

DOI: 10.1002/9780470973134

About this Book

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.

Centred around a set of nine case studies on the application of GEC to different areas of medicine, the book offers an overview of applications of GEC to medicine, describes applications in which GEC is used to analyse medical images and data sets, derive advanced models, and suggest diagnoses and treatments, finally providing hints about possible future advancements of genetic and evolutionary computation in medicine.

  • Explores the rapidly growing area of genetic and evolutionary computation in context of its viable and exciting payoffs in the field of medical applications.
  • Explains the underlying theory, typical applications and detailed implementation.
  • Includes general sections about the applications of GEC to medicine and their expected future developments, as well as specific sections on applications of GEC to medical imaging, analysis of medical data sets, advanced modelling, diagnosis and treatment.
  • Features a wide range of tables, illustrations diagrams and photographs.

Table of contents

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  1. Part 4: Applications of GEC in Medical Imaging

    1. Chapter 4.3

      Hybrid Detection of Features within the Retinal Fundus Using a Genetic Algorithm (pages 85–109)

      Vitoantonio Bevilacqua, Lucia Cariello, Simona Cambò, Domenico Daleno and Giuseppe Mastronardi

  2. Part 5: New Analysis of Medical Data Sets Using GEC

  3. Part 6: Advanced Modelling, Diagnosis and Treatment Using GEC

    1. You have free access to this content
    1. You have free access to this content

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