Description
Taylor & Francis Ltd Computational Intelligence In Medical Imagingtechniques And Applications 2009 Edition by G. Schaefer, A. Hassanien, J. Jiang
CI Techniques & Algorithms for a Variety of Medical Imaging SituationsDocuments recent advances and stimulates further researchA 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. PrefaceComputational Intelligence on Medical Imaging with Artificial Neural Networks, Z.Q. Wu, Jianmin Jiang, and Y.H. PengEvolutionary Computing and Its Use in Medical Imaging, Lars Nolle and Gerald SchaeferRough Sets in Medical Imaging: Foundations and Trends, Aboul Ella Hassanien, Ajith Abraham, James F. Peters, and Janusz KacprzykEarly Detection of Wound Inflammation by Color Analysis, Peter Plassmann and Brahima BelemAnalysis and Applications of Neural Networks for Skin Lesion Border Detection, Maher I. RajabProstate Cancer Classification Using Multispectral Imagery and Metaheuristics, Muhammad Atif Tahir, Ahmed Bouridane, and Muhammad Ali RoulaIntuitionistic Fuzzy Processing of Mammographic Images, Ioannis K. Vlachos and George D. SergiadisFuzzy C-Means and Its Applications in Medical Imaging, Huiyu ZhouImage Informatics for Clinical and Preclinical Biomedical Analysis, Kenneth W. Tobin, Edward Chaum, Jens Gregor, Thomas P. Karnowski, Jeffery R. Price, and Jonathan WallParts-Based Appearance Modeling of Medical Imagery, Matthew Toews and Tal ArbelReinforced Medical Image Segmentation, Farhang Sahba, Hamid R. Tizhoosh, and Magdy M.A. SalamaImage Segmentation and Parameterization for Automatic Diagnostics of Whole-Body Scintigrams: Basic Concepts, Luka Sajn and Igor KononenkoDistributed 3-D Medical Image Registration Using Intelligent Agents, Roger J. Tait, Gerald Schaefer, and Adrian A. HopgoodMonte Carlo-Based Image Reconstruction in Emission Tomography, Steven Staelens and Ignace LemahieuDeformable Organisms: An Artificial Life Framework for Automated Medical Image Analysis, Ghassan Hamarneh, Chris McIntosh, Tim McInerney, and Demetri TerzopoulosIndex