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Medical Computer Vision. Large Data in Medical Imaging

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Cover of 'Medical Computer Vision. Large Data in Medical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Overview of the 2013 Workshop on Medical Computer Vision (MCV 2013)
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    Chapter 2 Semi-supervised Learning of Nonrigid Deformations for Image Registration
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    Chapter 3 Local Regression Learning via Forest Classification for 2D/3D Deformable Registration
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    Chapter 4 Flexible Architecture for Streaming and Visualization of Large Virtual Microscopy Images
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    Chapter 5 2D-PCA Shape Models: Application to 3D Reconstruction of the Human Teeth from a Single Image
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    Chapter 6 Class-Specific Regression Random Forest for Accurate Extraction of Standard Planes from 3D Echocardiography
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    Chapter 7 Accurate Whole-Brain Segmentation for Alzheimer’s Disease Combining an Adaptive Statistical Atlas and Multi-atlas
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    Chapter 8 Integrated Spatio-Temporal Segmentation of Longitudinal Brain Tumor Imaging Studies
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    Chapter 9 Robust Mixture-Parameter Estimation for Unsupervised Segmentation of Brain MR Images
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    Chapter 10 White Matter Supervoxel Segmentation by Axial DP-Means Clustering
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    Chapter 11 Semantic Context Forests for Learning-Based Knee Cartilage Segmentation in 3D MR Images
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    Chapter 12 Local Phase-Based Fast Ray Features for Automatic Left Ventricle Apical View Detection in 3D Echocardiography
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    Chapter 13 Automatic Aorta Detection in Non-contrast 3D Cardiac CT Images Using Bayesian Tracking Method
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    Chapter 14 Organ Localization Using Joint AP/LAT View Landmark Consensus Detection and Hierarchical Active Appearance Models
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    Chapter 15 Pectoral Muscle Detection in Digital Breast Tomosynthesis and Mammography
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    Chapter 16 Computer Aided Diagnosis Using Multilevel Image Features on Large-Scale Evaluation
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    Chapter 17 Medical Computer Vision. Large Data in Medical Imaging
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    Chapter 18 2D–Based 3D Volume Retrieval Using Singular Value Decomposition of Detected Regions
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    Chapter 19 Medical Computer Vision. Large Data in Medical Imaging
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    Chapter 20 Medical Computer Vision. Large Data in Medical Imaging
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    Chapter 21 Multi-structure Atlas-Based Segmentation Using Anatomical Regions of Interest
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    Chapter 22 Using Probability Maps for Multi–organ Automatic Segmentation
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