LEADER 07522nam 22008175 450 001 996465562903316 005 20200705165353.0 010 $a3-540-27816-8 010 $a3-540-22675-3 024 7 $a10.1007/b98995 035 $a(CKB)1000000000212472 035 $a(SSID)ssj0000322155 035 $a(PQKBManifestationID)11246247 035 $a(PQKBTitleCode)TC0000322155 035 $a(PQKBWorkID)10287535 035 $a(PQKB)11132484 035 $a(DE-He213)978-3-540-27816-0 035 $a(MiAaPQ)EBC3089067 035 $a(PPN)155195573 035 $a(EXLCZ)991000000000212472 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aComputer Vision and Mathematical Methods in Medical and Biomedical Image Analysis$b[electronic resource] $eECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004, Revised Selected Papers /$fedited by Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (XII, 444 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v3117 300 $aIncludes index. 327 $aAcquisition Techniques -- Ultrasound Stimulated Vibro-acoustography -- CT from an Unmodified Standard Fluoroscopy Machine Using a Non-reproducible Path -- Three-Dimensional Object Reconstruction from Compton Scattered Gamma-Ray Data -- Reconstruction -- Cone-Beam Image Reconstruction by Moving Frames -- AQUATICS Reconstruction Software: The Design of a Diagnostic Tool Based on Computer Vision Algorithms -- Towards Automatic Selection of the Regularization Parameters in Emission Tomgraphy by Fourier Synthesis -- Mathematical Methods -- Extraction of Myocardial Contractility Patterns from Short-Axes MR Images Using Independent Component Analysis -- Principal Geodesic Analysis on Symmetric Spaces: Statistics of Diffusion Tensors -- Symmetric Geodesic Shape Averaging and Shape Interpolation -- Smoothing Impulsive Noise Using Nonlinear Diffusion Filtering -- Level Set and Region Based Surface Propagation for Diffusion Tensor MRI Segmentation -- The Beltrami Flow over Triangulated Manifolds -- Hierarchical Analysis of Low-Contrast Temporal Images with Linear Scale Space -- Medical Image Segmentation -- Segmentation of Medical Images with a Shape and Motion Model: A Bayesian Perspective -- A Multi-scale Geometric Flow for Segmenting Vasculature in MRI -- A 2D Fourier Approach to Deformable Model Segmentation of 3D Medical Images -- Automatic Rib Segmentation in CT Data -- Efficient Initialization for Constrained Active Surfaces, Applications in 3D Medical Images -- An Information Fusion Method for the Automatic Delineation of the Bone-Soft Tissues Interface in Ultrasound Images -- Multi-label Image Segmentation for Medical Applications Based on Graph-Theoretic Electrical Potentials -- Three-Dimensional Mass Reconstruction in Mammography -- Segmentation of Abdominal Aortic Aneurysms with a Non-parametric Appearance Model -- Probabilistic Spatial-Temporal Segmentation of Multiple Sclerosis Lesions -- Segmenting Cell Images: A Deterministic Relaxation Approach -- Registration -- TIGER ? A New Model for Spatio-temporal Realignment of FMRI Data -- Robust Registration of 3-D Ultrasound Images Based on Gabor Filter and Mean-Shift Method -- Deformable Image Registration by Adaptive Gaussian Forces -- Applications -- Statistical Imaging for Modeling and Identification of Bacterial Types -- Assessment of Intrathoracic Airway Trees: Methods and In Vivo Validation -- Computer-Aided Measurement of Solid Breast Tumor Features on Ultrasound Images -- Can a Continuity Heuristic Be Used to Resolve the Inclination Ambiguity of Polarized Light Imaging? -- Applications of Image Registration in Human Genome Research -- Fast Marching 3D Reconstruction of Interphase Chromosomes -- Robust Extraction of the Optic Nerve Head in Optical Coherence Tomography -- Scale-Space Diagnostic Criterion for Microscopic Image Analysis -- Image Registration Neural System for the Analysis of Fundus Topology -- Robust Identification of Object Elasticity. 330 $aMedical imaging and medical image analysisare rapidly developing. While m- ical imaging has already become a standard of modern medical care, medical image analysis is still mostly performed visually and qualitatively. The ev- increasing volume of acquired data makes it impossible to utilize them in full. Equally important, the visual approaches to medical image analysis are known to su?er from a lack of reproducibility. A signi?cant researche?ort is devoted to developing algorithms for processing the wealth of data available and extracting the relevant information in a computerized and quantitative fashion. Medical imaging and image analysis are interdisciplinary areas combining electrical, computer, and biomedical engineering; computer science; mathem- ics; physics; statistics; biology; medicine; and other ?elds. Medical imaging and computer vision, interestingly enough, have developed and continue developing somewhat independently. Nevertheless, bringing them together promises to b- e?t both of these ?elds. We were enthusiastic when the organizers of the 2004 European Conference on Computer Vision (ECCV) allowed us to organize a satellite workshop devoted to medical image analysis. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v3117 606 $aOptical data processing 606 $aComputer industry 606 $aArtificial intelligence 606 $aPattern recognition 606 $aComputer graphics 606 $aHealth informatics 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aThe Computer Industry$3https://scigraph.springernature.com/ontologies/product-market-codes/I24016 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aPattern Recognition$3https://scigraph.springernature.com/ontologies/product-market-codes/I2203X 606 $aComputer Graphics$3https://scigraph.springernature.com/ontologies/product-market-codes/I22013 606 $aHealth Informatics$3https://scigraph.springernature.com/ontologies/product-market-codes/H28009 615 0$aOptical data processing. 615 0$aComputer industry. 615 0$aArtificial intelligence. 615 0$aPattern recognition. 615 0$aComputer graphics. 615 0$aHealth informatics. 615 14$aImage Processing and Computer Vision. 615 24$aThe Computer Industry. 615 24$aArtificial Intelligence. 615 24$aPattern Recognition. 615 24$aComputer Graphics. 615 24$aHealth Informatics. 676 $a616.07/54/0151 702 $aSonka$b Milan$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKakadiaris$b Ioannis A$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKybic$b Jan$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aWorkshop on Computer Vision Approaches to Medical Image Analysis 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465562903316 996 $aComputer Vision and Mathematical Methods in Medical and Biomedical Image Analysis$92035912 997 $aUNISA