Intelligent 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
Intelligent and Adaptive Systems: A Control Engineer Perspective. Intelligent Control Systems in Anaesthesia. Control Methods and Intelligent Systems in Quality Control of Megavoltage Treatment Machines. Neural, Fuzzy, and Neuro-Fuzzy Systems for Medical Applications. The Soft Computing Technique of Fuzzy Cognitive Maps for Decision Making in Radiotherapy. Neural Networks in Radiation Therapy. Neural Networks for Estimating Probability Distributions for Survival Analysis. Some Applications of Intelligent Systems in Cancer Treatment: A Review. Fuzzy Systems and Deformable Models. Texture Analysis and Classification Techniques for Cancer Diagnosis. Index.
Olivier C. L. Haas, Keith J. Burnham