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Zusatztext In choosing this book the reader will be exposed to the range of exciting research that is being conducted in the context of medical imaging. … I am sure that this collection of the latest trends and developments will further stimulate discussion and development of new solutions. The book will be of interest and relevance to anyone involved in the computational analysis and interpretation of images—whether medical or not. — International Statistical Review , 2009 Informationen zum Autor G. Schaefer, A. Hassanien, J. Jiang Zusammenfassung Explores how intelligent computing can bring enormous benefit to existing technology in medical image processing as well as improve medical imaging research. This book presents a range of computational algorithms and techniques, such as neural networks, fuzzy sets, evolutionary optimization, and a machine learning approach. Inhaltsverzeichnis Preface. Computational Intelligence on Medical Imaging with Artificial Neural Networks. Evolutionary Computing and Its Use in Medical Imaging. Rough Sets in Medical Imaging: Foundations and Trends. Early Detection of Wound Inflammation by Color Analysis. Analysis and Applications of Neural Networks for Skin Lesion Border Detection. Prostate Cancer Classification Using Multispectral Imagery and Metaheuristics. Intuitionistic Fuzzy Processing of Mammographic Images. Fuzzy C-Means and Its Applications in Medical Imaging. Image Informatics for Clinical and Preclinical Biomedical Analysis. Parts-Based Appearance Modeling of Medical Imagery. Reinforced Medical Image Segmentation. Image Segmentation and Parameterization for Automatic Diagnostics of Whole-Body Scintigrams: Basic Concepts. Distributed 3-D Medical Image Registration Using Intelligent Agents. Monte Carlo-Based Image Reconstruction in Emission Tomography. Deformable Organisms: An Artificial Life Framework for Automated Medical Image Analysis. Index.
