| Description |
1 online resource |
| Series |
Lecture notes in computational vision and biomechanics ; volume 27 |
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Lecture notes in computational vision and biomechanics ; v. 27.
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| Contents |
Preface -- Invited Lecturers -- Thematic Sessions -- Organization -- Scientific Committee -- Acknowledgements -- Contents -- Invited Lectures -- Interactive Browsing Systems for Large Image Collections -- 1 Introduction -- 2 Image Database Navigation Systems -- 3 Hue Sphere Image Browser -- Principles -- 4 Hue Sphere Image Browser -- Systems -- 5 Conclusions -- References -- Quantitative MR Image Analysis for Brian Tumor -- Abstract -- 1 Introduction -- 2 Background Review -- 2.1 Piecewise-Triangular-Prism-Surface-Area (PTPSA) |
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2.2 Multi-fractal Brownian Motion (mBm)3 Methodology -- 3.1 Generalized Multifractional Brownian Motion (GmBm) -- 3.2 Brain Tumor Segmentation -- 3.3 Ischemic Stroke Lesion Segmentation -- 4 Experimental Results -- 5 Conclusion -- Acknowledgments -- References -- Contributed Papers -- Foot Pressure Distribution of Patients with Hallux Valgus During Walking up and Down Stairs -- Abstract -- 1 Introduction -- 2 Materials and Methods -- 3 Results -- 4 Conclusion -- Acknowledgements -- References |
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Minimisation of Acquisition Time in a TOF PET/CT Scanner Without Compromising Image QualityAbstract -- 1 Introduction -- 2 Materials and Methods -- 3 Phantom Results -- 4 Clinical Results -- 5 Discussion -- 5.1 Phantom Imaging -- 5.2 Patient Imaging -- 6 Conclusion -- Acknowledgments -- References -- A Variational Model for Image Artifact Correction Based on Wasserstein Distance -- 1 Introduction -- 2 Variational Model -- 3 Numerical Experiments -- 3.1 Example 1 -- 3.2 Example 2 -- 3.3 Example 3 -- 4 Conclusion -- References |
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Semi-supervised Bayesian Source Separation of Scintigraphic Image Sequences1 Introduction -- 2 Mathematical Methods -- 2.1 Probabilistic Model -- 2.2 Semi-supervised Source Separation -- 3 Real Data Experiments -- 3.1 Selected Sequence Separation -- 3.2 Relative Renal Function Estimation -- 4 Conclusion -- References -- Cluster Analysis of Functional Neuroimages Using Data Reduction and Competitive Learning Algorithms -- 1 Introduction -- 2 fMRI Dataset and Reduction Procedure -- 2.1 fMRI Data -- 2.2 Data Reduction -- 3 Clustering Algorithms |
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3.1 Clustering with SOM3.2 Clustering with GNG -- 4 Experiment Results -- 4.1 Evaluation Metrics -- 4.2 Experimental Evaluation and Comparison -- 5 Descriptive Statistics and Conclusion -- References -- Development of Activities for Human-Robot Interaction: Preliminary Results -- Abstract -- 1 Introduction -- 2 Problem Definition -- 3 The System -- 4 Activities -- 4.1 Geometric Figures Activity -- Level 1 -- 4.2 Geometric Figures Activity -- Level 2 -- 4.3 Colour Activity -- Level 1 -- 4.4 Colour Activity â#x80;#x93; Level 2 -- 5 Image Processing |
| Summary |
This book gathers papers presented at the VipIMAGE 2017-VI ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing. It highlights invited lecturers and full papers presented at the conference, which was held in Porto, Portugal, on October 18?20, 2017. These international contributions provide comprehensive coverage on the state-of-the-art in the following fields: 3D Vision, Computational Bio-Imaging and Visualization, Computational Vision, Computer Aided Diagnosis, Surgery, Therapy and Treatment, Data Interpolation, Registration, Acquisition and Compression, Industrial Inspection, Image Enhancement, Image Processing and Analysis, Image Segmentation, Medical Imaging, Medical Rehabilitation, Physics of Medical Imaging, Shape Reconstruction, Signal Processing, Simulation and Modelling, Software Development for Image Processing and Analysis, Telemedicine Systems and their Applications, Tracking and Analysis of Movement, and Deformation and Virtual Reality. In addition, it explores a broad range of related techniques, methods and applications, including: trainable filters, bilateral filtering, statistical, geometrical and physical modelling, fuzzy morphology, region growing, grabcut, variational methods, snakes, the level set method, finite element method, wavelet transform, multi-objective optimization, scale invariant feature transform, Laws? texture-energy measures, expectation maximization, the Markov random fields bootstrap, feature extraction and classification, support vector machines, random forests, decision trees, deep learning, and stereo vision. Given its breadth of coverage, the book offers a valuable resource for academics, researchers and professionals in Biomechanics, Biomedical Engineering, Computational Vision (image processing and analysis), Computer Sciences, Computational Mechanics, Signal Processing, Medicine and Rehabilitation |
| Notes |
Includes index |
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Online resource; title from PDF title page (SpringerLink, viewed October 24, 2017) |
| Subject |
Diagnostic imaging -- Digital techniques -- Congresses
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Imaging systems in medicine -- Congresses
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Image processing -- Congresses
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Medical informatics -- Congresses
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Image processing.
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Maths for scientists.
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Computer modelling & simulation.
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Imaging systems & technology.
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HEALTH & FITNESS -- Diseases -- General.
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MEDICAL -- Clinical Medicine.
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MEDICAL -- Diseases.
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MEDICAL -- Evidence-Based Medicine.
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MEDICAL -- Internal Medicine.
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Diagnostic imaging -- Digital techniques
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Image processing
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Imaging systems in medicine
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Medical informatics
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| Genre/Form |
Electronic books
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proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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| Form |
Electronic book
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| Author |
Tavares, João Manuel R. S., editor.
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Jorge, Renato M. Natal, editor.
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| ISBN |
9783319681955 |
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3319681958 |
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331968194X |
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9783319681948 |
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