CI Techniques & Algorithms for a Variety of Medical Imaging Situations
Documents recent advances and stimulates further research
A compilation of the latest trends in the field, Computational Intelligence in Medical Imaging: Techniques and Applications explores how intelligent computing can bring enormous benefit to existing technology in medical image processing as well as improve medical imaging research. The contributors also cover state-of-the-art research toward integrating medical image processing with artificial intelligence and machine learning approaches.
The book presents numerous techniques, algorithms, and models. It describes neural networks, evolutionary optimization techniques, rough sets, support vector machines, tabu search, fuzzy logic, a Bayesian probabilistic framework, a statistical parts-based appearance model, a reinforcement learning-based multistage image segmentation algorithm, a machine learning approach, Monte Carlo simulations, and intelligent, deformable models. The contributors discuss how these techniques are used to classify wound images, extract the boundaries of skin lesions, analyze prostate cancer, handle the inherent uncertainties in mammographic images, and encapsulate the natural intersubject anatomical variance in medical images. They also examine prostate segmentation in transrectal ultrasound images, automatic segmentation and diagnosis of bone scintigraphy, 3-D medical image segmentation, and the reconstruction of SPECT and PET tomographic images.
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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
Operating at the intersection of bioengineering, computer science, and diagnostic radiology, medical imaging and analysis continues to evolve with new imaging modalities and improved device capabilities, many of these based on artifical intelligence. "Computational Intelligence in Medical Imaging: Techniques and Applications" provides an authoritative source of current research and methodology in soft computing as it relates to imaging.The book presents developments in image visualization, display, and image-guided procedures authored by pioneers in the field. It also covers the physics of medical imaging; the physiology, function, and structure of medical images; image processing; imaging informatics; image perception, observer performance, and technology assessment; and, ultrasonic imaging and signal processing. In addition to technology advances, the editors have included disucssions on clinical decision making, artificial intelligence in medical education, and medcial knowledge engineering.
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