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