Издательство Kluwer Academic / Plenum Publishers, 2005. — 831 p.With rapid advancements in technology, body imaging or components thereof, have become ubiquitous in medicine. While the biomedical devices such as the MRI, CT, X-rays, Ultrasound, PET/SPECT and Microscopy etc., provide us with high resolution images, the challenges that have continued to confront us with, lie in the interpretation of the vast amounts of data generated by these devices. Biomedical applications are the ‘bottom-line’ essentials in the diagnostic world. It is this diagnostic interpretation feature that forms the core niche for these books and will serve the needs of a broad spectrum of audience including researchers, research clinicians, and students. Together the three volumes will illustrate the role of the fusion of registration and segmentation systems for complete biomedical applications therapy delivery benefiting the biomedical doctors, clinical researchers, radiologists and others.Model-Based Brain Tissue Classification Supervised Texture Classification for IntravascularTissue Characterization Medical Image Segmentation: Methods and Applications in Functional Imaging Automatic Segmentation of Pancreatic Tumors in Computed Tomography Computerized Analysis and Vasodilation Parameterization in Flow-Mediated Dilation Tests from Ultrasonic Image Sequences Statistical and Adaptive Approaches for Optimal Segmentation in Medical Images Automatic Analysis of Color Fundus Photographs and Its Application to the Diagnosis of Diabetic Retinopathy Segmentation Issues in Carotid Artery Atherosclerotic Plaque Analysis with MRI Accurate Lumen Identification, Detection, and Quantification in MR Plaque Volumes Hessian-Based Multiscale Enhancement, Description, and Quantification of Second-Order 3-D Local Structures from Medical Volume Data A Knowledge-Based Scheme for Digital Mammography Simultaneous Fuzzy Segmentation of Medical Images Computer-Aided Diagnosis of Mammographic Calcification Clusters: Impact of Segmentation Computer-Supported Segmentation of Radiological Data
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