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Medical Computer Vision. Large Data in Medical Imaging: Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers

Menze, Bjoern ;Langs, Georg ;Montillo, Albert ;Muller, Henning ;Tu, Zhuowen;; Hutchison, David (Editor) ; Kanade, Takeo (Editor) ; Kittler, Josef (Editor) ; Kleinberg, Jon M (Editor) ; Kobsa, Alfred (Editor) ; Mattern, Friedemann (Editor) ; Mitchell, John C (Editor) ; Naor, Moni (Editor) ; Nierstrasz, Oscar (Editor) ; Pandu Rangan, C (Editor) ; Steffen, Bernhard (Editor) ; Terzopoulos, Demetri (Editor) ; Tygar, Doug (Editor) ; Weikum, Gerhard (Editor) ; Menze, Bjoern (Editor) ; Langs, Georg (Editor) ; Montillo, Albert (Editor) ; Kelm, Michael (Editor) ; Müller, Henning (Editor) ; Tu, Zhuowen (Editor)

Lecture Notes in Computer Science

ISBN: 9783319055299 ; ISBN: 3319055291 ; E-ISBN: 9783319055305 ; E-ISBN: 3319055305 ; DOI: 10.1007/978-3-319-05530-5

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  • Nhan đề:
    Medical Computer Vision. Large Data in Medical Imaging: Third International MICCAI Workshop, MCV 2013, Nagoya, Japan, September 26, 2013, Revised Selected Papers
  • Tác giả: Menze, Bjoern ; Langs, Georg ; Montillo, Albert ; Muller, Henning ; Tu, Zhuowen
  • Hutchison, David (Editor) ; Kanade, Takeo (Editor) ; Kittler, Josef (Editor) ; Kleinberg, Jon M (Editor) ; Kobsa, Alfred (Editor) ; Mattern, Friedemann (Editor) ; Mitchell, John C (Editor) ; Naor, Moni (Editor) ; Nierstrasz, Oscar (Editor) ; Pandu Rangan, C (Editor) ; Steffen, Bernhard (Editor) ; Terzopoulos, Demetri (Editor) ; Tygar, Doug (Editor) ; Weikum, Gerhard (Editor) ; Menze, Bjoern (Editor) ; Langs, Georg (Editor) ; Montillo, Albert (Editor) ; Kelm, Michael (Editor) ; Müller, Henning (Editor) ; Tu, Zhuowen (Editor)
  • Chủ đề: Computer Science ; Image Processing and Computer Vision ; Pattern Recognition ; Health Informatics ; Medicine ; Applied Sciences ; Computer Science
  • Là 1 phần của: Lecture Notes in Computer Science
  • Mô tả: Intro -- Preface -- Organization -- Contents -- Workshop Overview -- Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013) -- 1 Introduction -- 2 Papers Presented at the Workshop -- 2.1 Long Papers -- 2.2 Short Papers -- 2.3 Invited Papers -- 2.4 VISCERAL Section -- 3 Conclusions -- References -- Registration and Visualization -- Semi-supervised Learning of Nonrigid Deformations for Image Registration -- 1 Introduction -- 2 Methods -- 2.1 Supervised Nonrigid Registration -- 2.2 Unsupervised Nonrigid Registration -- 2.3 Semi-supervised Statistical Deformation Model Registration -- 3 Results and Discussion -- 3.1 SSL SDM Reconstructions -- 3.2 SSL SDM Registration -- 4 Conclusion -- References -- Local Regression Learning via Forest Classification for 2D/3D Deformable Registration -- 1 Introduction -- 2 Method -- 2.1 Training Stage -- 2.2 Treatment Application Stage -- 3 Results -- 3.1 The Datasets -- 3.2 Synthetic Tests -- 3.3 Real Tests -- 4 Conclusions and Discussion -- References -- Flexible Architecture for Streaming and Visualization of Large Virtual Microscopy Images -- 1 Introduction -- 2 Methodology -- 2.1 Representation of Images -- 2.2 System Architecture -- 3 Experimentation -- 3.1 Experimental Setup -- 3.2 Dataset -- 3.3 Experimentation -- 3.4 Experimental Results -- 4 Conclusions -- References -- 2D-PCA Shape Models: Application to 3D Reconstruction of the Human Teeth from a Single Image -- 1 Introduction -- 2 Method -- 2.1 Data Preprocessing -- 2.2 Shape Model Construction -- 3 Shape from Shading with Shape Priors -- 4 Experimental Results -- 5 Conclusion -- References -- Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography -- Abstract -- 1 Introduction -- 2 Class-Specific Regression Voting -- 2.1 Training -- 2.2 Testing -- 2.3 Features -- 3 Experimental Results -- 3.1 Dataset -- 3.2 Validation -- 4 Results -- 5 Conclusions -- Acknowledgement -- References -- Segmentation -- Accurate Whole-Brain Segmentation for Alzheimer's Disease Combining an Adaptive Statistical Atlas and Multi-atlas -- 1 Introduction -- 2 Methods -- 3 Experiments -- 4 Conclusions and Future Work -- References -- Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies -- 1 Introduction -- 2 Methods -- 3 Results -- 4 Discussion and Conclusion -- References -- Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images -- Abstract -- 1 Introduction -- 2 Methods -- 2.1 Mixture-Parameter Estimation by FAST-TLE -- 2.2 Mixture-Parameter Estimation by Significance-Level Trimming -- 3 Experiments and Results -- 3.1 Numerical Simulations -- 3.2 Brain MR Images -- 4 Conclusions -- Acknowledgments -- References -- White Matter Supervoxel Segmentation by Axial DP-Means Clustering -- 1 Introduction and Related Work -- 2 Methods -- 2.1 Exponential Families and Bregman Divergences -- 2.2 Gaussian and Watson Distributions -- 2.3 Hard Clustering -- 3 Experiment.
  • Nơi xuất bản: Cham: Springer International Publishing
  • Năm xuất bản: 2014
  • Ngôn ngữ: English
  • Số nhận dạng: ISBN: 9783319055299 ; ISBN: 3319055291 ; E-ISBN: 9783319055305 ; E-ISBN: 3319055305 ; DOI: 10.1007/978-3-319-05530-5

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