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_a9783540278160 _9978-3-540-27816-0 |
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024 | 7 |
_a10.1007/b98995 _2doi |
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_aComputer Vision and Mathematical Methods in Medical and Biomedical Image Analysis _h[electronic resource] : _bECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004, Revised Selected Papers / _cedited by Milan Sonka, Ioannis A. Kakadiaris, Jan Kybic. |
250 | _a1st ed. 2004. | ||
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg : _bImprint: Springer, _c2004. |
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300 |
_aXII, 444 p. _bonline resource. |
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_atext _btxt _2rdacontent |
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_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v3117 |
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505 | 0 | _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. | |
520 | _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. | ||
650 | 0 | _aComputer vision. | |
650 | 0 | _aComputer industry. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aPattern recognition systems. | |
650 | 0 | _aComputer graphics. | |
650 | 0 | _aMedical informatics. | |
650 | 1 | 4 | _aComputer Vision. |
650 | 2 | 4 | _aThe Computer Industry. |
650 | 2 | 4 | _aArtificial Intelligence. |
650 | 2 | 4 | _aAutomated Pattern Recognition. |
650 | 2 | 4 | _aComputer Graphics. |
650 | 2 | 4 | _aHealth Informatics. |
700 | 1 |
_aSonka, Milan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aKakadiaris, Ioannis A. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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700 | 1 |
_aKybic, Jan. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783540226758 |
776 | 0 | 8 |
_iPrinted edition: _z9783662191941 |
830 | 0 |
_aLecture Notes in Computer Science, _x1611-3349 ; _v3117 |
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856 | 4 | 0 | _uhttps://doi.org/10.1007/b98995 |
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