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  • 1
    Book
    Book
    Computer vision and mathematical methods in medical and biomedical image analysis : ECCV 2004 workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004 ; revised selected papers (2004)
    Berlin : Springer
    Details
    UID:
    gbv_393456420
    Format: XII, 438 S. , Ill., graph. Darst. , 235 mm x 155 mm
    ISBN: 3540226753
    Series Statement: Lecture notes in computer science 3117
    Content: This book constitutes the thoroughly refereed joint post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2004 and Mathematical Methods in Biomedical Image Analysis, MMBIA 2004, both held in Prague, Czech Republic in May 2004 as part of EECV 2004. The 37 revised full papers presented were carefully selected and improved during two rounds of reviewing and recvsion. The papers are organized in topical sections on image acquision techniques, image reconstruction, mathematical methods, medical image segmentation, image registration, and applications
    Additional Edition: Online-Ausg. Sonka, Milan Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis Berlin, Heidelberg : Springer Berlin Heidelberg, 2004 ISBN 9783540226758
    Additional Edition: Erscheint auch als Online-Ausgabe Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis Berlin : Springer, 2004 ISBN 9783540278160
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Medizin ; Maschinelles Sehen ; Bildanalyse ; Konferenzschrift ; Kongress ; Konferenzschrift
    URL: Einführung/Vorwort
    URL: Cover
    URL: Inhaltsverzeichnis
    URL: Volltext
    URL: http://www.loc.gov/catdir/enhancements/fy0814/2004111941-d.html
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  • 2
    Online Resource
    Online Resource
    Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis : ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004, Revised Selected Papers (2004)
    Berlin, Heidelberg :Springer Berlin Heidelberg,
    Details
    UID:
    almahu_9947920561602882
    Format: XII, 444 p. , online resource.
    ISBN: 9783540278160
    Series Statement: Lecture Notes in Computer Science, 3117
    Content: Medical 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.
    Note: Acquisition 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.
    In: Springer eBooks
    Additional Edition: Printed edition: ISBN 9783540226758
    Language: English
    DOI: 10.1007/b98995
    URL: http://dx.doi.org/10.1007/b98995
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HU Berlin
  • 3
    Online Resource
    Online Resource
    Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis : ECCV 2004 Workshops CVAMIA and MMBIA Prague, Czech Republic, May 15, 2004, Revised Selected Papers (2004)
    Berlin, Heidelberg :Springer Berlin Heidelberg :
    Details
    UID:
    almahu_9948621360702882
    Format: XII, 444 p. , online resource.
    Edition: 1st ed. 2004.
    ISBN: 9783540278160
    Series Statement: Lecture Notes in Computer Science, 3117
    Content: Medical 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.
    Note: Acquisition 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.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783662191941
    Additional Edition: Printed edition: ISBN 9783540226758
    Language: English
    DOI: 10.1007/b98995
    URL: https://doi.org/10.1007/b98995
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Open Access Request
    HU Berlin
  • 4
    Online Resource
    Online Resource
    Computer Vision and Mathematical Methods in Medical and Biomedical Image Analysis : ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004, Revised Selected Papers (2004)
    Berlin : Springer
    Details
    UID:
    gbv_749240717
    Format: Online-Ressource (XII, 438 p. Also available online) , digital
    Edition: Springer eBook Collection. Computer Science
    ISBN: 9783540278160
    Series Statement: Lecture Notes in Computer Science 3117
    Content: This book constitutes the thoroughly refereed joint post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2004, and Mathematical Methods in Biomedical Image Analysis, MMBIA 2004, both held in Prague, Czech Republic, in May 2004 as part of EECV 2004. The 37 revised full papers presented were carefully selected and improved during two rounds of reviewing and revision. The papers are organized in topical sections on image acquision techniques, image reconstruction, mathematical methods, medical image segmentation, image registration, and applications
    Additional Edition: ISBN 9783540226758
    Additional Edition: Erscheint auch als Druck-Ausgabe Computer vision and mathematical methods in medical and biomedical image analysis Berlin : Springer, 2004 ISBN 3540226753
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Medizin ; Maschinelles Sehen ; Bildanalyse ; Konferenzschrift
    DOI: 10.1007/b98995
    URL: Volltext  (lizenzpflichtig)
    URL: lizenzpflichtig
    Library Location Call Number Volume/Issue/Year Availability
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    Online Resource
    Online Access
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    UB Potsdam
  • 5
    Book
    Book
    Computer vision and mathematical methods in medical and biomedical image analysis : ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004 ; revised selected papers; 3117 (2004)
    Berlin u.a. :Springer,
    Details
    UID:
    kobvindex_ZIB000011635
    Format: XII, 438 S. : , Ill., graph. Darst.
    ISBN: 3-540-22675-3
    Series Statement: Lecture notes in computer science 3117
    Language: English
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  • 6
    Book
    Book
    Computer vision and mathematical methods in medical and biomedical image analysis : ECCV 2004 Workshops CVAMIA and MMBIA, Prague, Czech Republic, May 15, 2004 ; revised selected papers (2004)
    Berlin u.a. :Springer,
    Details
    UID:
    almahu_BV019591966
    Format: XII, 438 S. : , Ill., graph. Darst. ; , 235 mm x 155 mm.
    ISBN: 3-540-22675-3
    Series Statement: Lecture Notes in Computer Science 3117
    Language: English
    Subjects: Computer Science
    RVK:
    SS 4800
    Keywords: Medizin ; Maschinelles Sehen ; Bildgebendes Verfahren ; Bildanalyse ; Mathematische Methode ; Konferenzschrift ; Kongress - Prag 〈2004〉 - Medizin - Maschinelles Sehen - Bildanalyse
    URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=012928678&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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