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Intelligent and Adaptive Systems in Medicine  
 
Edited by: Olivier C. L. Haas, Coventry University, UK; Keith J. Burnham, Coventry University, UK 
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Description:

Centers on the areas of oncology and radiotherapy to illustrate the full implementation of intelligent and adaptive systems
Includes technical descriptions of the algorithms used in intelligent and adaptive systems
Covers the tools employed to automate tasks and improve the safety of medical machine operation
Applies artificial intelligence techniques to treatment planning, decision making, delivery, and follow up
Explores medical imaging techniques for diagnostic and task automationIntelligent and adaptive techniques are rapidly being used in all stages of medical treatment, from the initial diagnosis to planning delivery and follow-up therapy.To realize the full potential of these techniques, developers and end users must understand both the underlying technology and the specifics of the medical application considered. Focusing on this growing area of interest, Intelligent and Adaptive Systems in Medicine clearly and concisely explains a range of adaptive and intelligent systems, highlighting their benefits and limitations with realistic medical examples.
Bringing together theory and practice, this volume describes the application of adaptive and intelligent control as well as intelligent systems in the diagnosis, planning, treatment, and follow up of diseases such as cancer. Each chapter presents a family of an intelligent and adaptive system, explains the techniques and algorithms behind these systems, and explores how to solve medical and biomedical problems using intelligent and adaptive systems. The book focuses on the methods of fuzzy logic, artificial neural networks, neuro-fuzzy modeling, adaptive and predictive control, systems and statistical modeling, and image processing.
By assessing the use of intelligent and adaptive techniques for medical diagnosis and therapy, this guide promotes further research in this area of “techno-medicine.” It provides researchers and clinicians with the tools and processes that are leading to the invaluable use of intelligent systems in early diagnoses and effective treatment.


Table of Contents:

Introduction, O.C.L. Haas and K. J. Burnham
Part I: Systems Modeling, Identification
and Control Theory Applied to Medicine
Systems Modeling and Control Applied to Medicine, O.C.L. Haas and K.J. Burnham
Intelligent Control Systems in Anesthesia, T. F. Mendonça, C. Nunes, and P. Lago
Control Methods and Intelligent Systems in the Quality Control of Megavoltage Treatment Machines, J. A. Mills, R. C. Crichton, P. Sharpe, and W. M. Kelly
Part II: Artificial Intelligence Applied to Medicine 125
5 Neural, Fuzzy, and Neurofuzzy Systems for Medical
Applications
A. Dourado, J. Henriques, and P. de Carvalho
The Soft Computing Technique of Fuzzy Cognitive Maps for Decision Making in Radiotherapy, E. Papageorgiou, C. Stylios, and P. Groumpos
Artificial Neural Networks in Radiation Therapy, J. H. Goodband and O. C. L. Haas
Neural Networks for Estimating Probability Distributions for Survival Analysis,C. Johnston and C.R. Reeves
Part III: Intelligent and Adaptive Techniques
in Medical Imaging
Some Applications of Intelligent Systems in Cancer Treatment: A Review,
M. Fisher, Y. Su, and R. Aldridge
Fuzzy Systems and Deformable Models, G. Bueno
Texture Analysis and Classification Techniques
for Cancer Diagnosis, J. Shuttleworth, A. Todman, R. Naguib, R. Newman,and M. K. Bennett
Index

Edited by: Olivier C. L. Haas, Coventry University, UK; Keith J. Burnham, Coventry University, UK
400 Pages, Illustrations: Hardback, March 19, 2008
$157.95 now $137.95 U.S.
ISBN: 0750309946; ISBN: 9780750309943  
email: info@advmedpub.net
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Radiation Oncology (Clinical)

Clinical Oncology

   Essential textbooks
IGRT
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