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.
Intelligent and Adaptive Systems in Medicine describes the application of adaptive and intelligent control as well as intelligent systems in the:
- diagnosis
- planning
- treatment
- follow up of diseases such as cancer
Intelligent and Adaptive Systems in Medicine 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.
- 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 automation
Contents
Systems Modeling, Identification and Control Theory Applied to Medicine
- Systems Modeling and Control Applied to Medicine
- Intelligent Control Systems in Anesthesia
- Control Methods and Intelligent Systems in the Quality Control of Megavoltage Treatment Machines
Artificial Intelligence Applied to Medicine 125
- 5 Neural, Fuzzy, and Neurofuzzy Systems for Medical Applications
- The Soft Computing Technique of Fuzzy Cognitive Maps for Decision Making in Radiotherapy
- Artificial Neural Networks in Radiation Therapy
- Neural Networks for Estimating Probability Distributions for Survival Analysis
Intelligent and Adaptive Techniques in Medical Imaging
- Some Applications of Intelligent Systems in Cancer Treatment: A Review
- Fuzzy Systems and Deformable Models
- Texture Analysis and Classification Techniques for Cancer Diagnosis
Index
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