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Suri J.S., Wilson D.L., Laxminarayan S. (eds.) Handbook of Biometrical Image Analysis. Volume II. Segmentation Models. Part B

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Suri J.S., Wilson D.L., Laxminarayan S. (eds.) Handbook of Biometrical Image Analysis. Volume II. Segmentation Models. Part B
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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