000 06382nam a22005415i 4500
001 978-0-306-48606-7
003 DE-He213
005 20260127103025.0
007 cr nn 008mamaa
008 100301s2005 xxu| s |||| 0|eng d
020 _a9780306486067
020 _a99780306486067
024 7 _a10.1007/b104806
_2doi
040 _cCICY
082 0 4 _a610.28
_223
100 1 _aSuri, Jasjit S.
_eeditor.
245 1 0 _aHandbook of Biomedical Image Analysis
_h[recurso electrónico] :
_bVolume II: Segmentation Models Part B /
_cedited by Jasjit S. Suri, David L. Wilson, Swamy Laxminarayan.
264 1 _aBoston, MA :
_bSpringer US,
_c2005.
300 _aXXII, 816 p. With CD-ROM.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aTopics in Biomedical Engineering International Book Series
505 0 _aModel-Based Brain Tissue Classification -- Supervised Texture Classification for Intravascular Tissue 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.
520 _aHandbook of Biomedical Image Analysis: Segmentation Models (Volume II) is dedicated to the segmentation of complex shapes from the field of imaging sciences using different mathematicaltechniques. This volume is aimed at researchers and educators in imaging sciences, radiological imaging, clinical and diagnostic imaging, physicists covering different medical imaging modalities, as well as researchers in biomedical engineering, applied mathematics, algorithmic development, computer vision, signal processing, computer graphics and multimedia in general, both in academia and industry. Key Features: --- Model-based brain tissue classification --- Supervised texture classification for intravascular tissue characterization --- Medical image segmentation: methods and applications in functional imaging --- Automatic segmentation of pancreatic tumors in CT --- Computerized analysis and vasodilation parameterization in flow-mediated dilation tests from ultrasonic image sequences --- Adaptive approaches to optical segmentation in brain MRI Images --- Automatic analysis of color fundus photographs and its application to the diagnosis of diabetic retinopathy --- Segmentation issues of carotid plaque analysis in MRI --- Accurate lumen identification, detection, and quantification in MR plaque volumes --- Hessian-based multiscale enhancement, description, and quantification of second-order 3D local structures from medical volume data --- A knowledge-based scheme for digital mammography --- Simultaneous fuzzy segmentation --- CAD of mammographic calicification: impact of segmentation About the Editors: Jasjit Suri, Ph.D. has spent over 20 years in the field of computer and electrical engineering, and more than a decade in imaging sciences. Dr. Suri has a masters degree in computer sciences from the University of Illinois and a doctorate in Electrical Engineering from the University of Washington, Seattle. Dr. Suri has published over 125 technical publications in medical imaging, as well as being a senior member of IEEE and a member of the engineering honor societies Eta-Kappa-Nu and Tau-Beta-Phi, and a recipient of the President's Gold Medal in 1980. He is also a fellow of American Institute of Medical and Biological Engineering. David Wilson, Ph D. is a Professor of Biomedical Engineering and Radiology at Case Western Reserve University, having gained his doctorate from Rice University. He has over 60 refereed journal publications and is co-owner of several patents. Professor Wilson has actively developed biomedical imaging at CWRU. He has led a faculty recruitment effort, and he has served as PI or has been an active leader on multiple research and equipment developmental awards given to CWRU, including an NIH planning grant award for an in vivo Cellular and Molecular Imaging Center and an Ohio Wright Center of Innovation award. Swamy Laxminarayan, Dsc championed the field of Biomedical Engineering for over 30 years, having held a variety of senior positions within the industry. He is an internationally recognized scientist, engineer, and educator and has been published in over 200 technical publications in biomedical information technology, computation biology, signal and image processing, biotechnology, and physiological system modeling. Prof. Laxminarayan is a fellow of AIMBE and a recipient of IEEE 3rd Millennium Medal.
650 0 _aENGINEERING.
650 0 _aRADIOLOGY, MEDICAL.
650 0 _aINFORMATION THEORY.
650 0 _aCOMPUTER GRAPHICS.
650 0 _aCOMPUTER VISION.
650 0 _aBIOMEDICAL ENGINEERING.
650 1 4 _aENGINEERING.
650 2 4 _aBIOMEDICAL ENGINEERING.
650 2 4 _aIMAGING / RADIOLOGY.
650 2 4 _aTHEORY OF COMPUTATION.
650 2 4 _aCOMPUTER GRAPHICS.
650 2 4 _aIMAGE PROCESSING AND COMPUTER VISION.
700 1 _aWilson, David L.
_eeditor.
700 1 _aLaxminarayan, Swamy.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780306486050
830 0 _aTopics in Biomedical Engineering International Book Series
856 4 0 _uhttp://dx.doi.org/10.1007/b104806
_zVer el texto completo en las instalaciones del CICY
942 _2ddc
_cER
999 _c55883
_d55883