- Author:Olivier C. L. Haas,Keith J. Burnham
- Publisher:CRC Press; 1 edition (March 19, 2008)
- Pages:400 pages
- FB2 format1894 kb
- ePUB format1682 kb
- DJVU format1645 kb
- Formats:docx txt rtf lrf
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.
Intelligent and Adaptive Systems in Medicine (Series in Medical Physics and Biomedical Engineering). Olivier C. L. Haas, Keith J. Burnham. Download (pdf, . 5 Mb) Donate Read
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Intelligent and Adaptive Techniques in Medical Imaging. Fuzzy Systems and Deformable Models. Texture Analysis and Classification Techniques for Cancer Diagnosis.
Olivier C. Burnham September 19, 2019. Francis A. Duck, . Baker, . Starritt June 19, 2019
Дата издания: 14/04/2008 Серия: Series in medical physics and biomedical engineering Язык: ENG .
Дата издания: 14/04/2008 Серия: Series in medical physics and biomedical engineering Язык: ENG Иллюстрации: 146 black & white illustrations, 39 black & white tables, 30 black & white halftones Размер: 235 x 163 mm, 698 grams Читательская аудитория: Professional & Vocational Рейтинг: Поставляется из: Англии Описание: Intelligent and adaptive techniques are used in various stages of medical treatment, from the initial diagnosis to planning delivery and follow-up therapy.
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.