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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
Attention for Chapter 7: Accurate Whole-Brain Segmentation for Alzheimer’s Disease Combining an Adaptive Statistical Atlas and Multi-atlas
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Chapter title
Accurate Whole-Brain Segmentation for Alzheimer’s Disease Combining an Adaptive Statistical Atlas and Multi-atlas
Chapter number 7
Book title
Medical Computer Vision. Large Data in Medical Imaging
Published by
Springer, Cham, September 2013
DOI 10.1007/978-3-319-05530-5_7
Pubmed ID
Book ISBNs
978-3-31-905529-9, 978-3-31-905530-5
Authors

Zhennan Yan, Shaoting Zhang, Xiaofeng Liu, Dimitris N. Metaxas, Albert Montillo, The Australian Imaging Biomarkers and Lifestyle Flagship Study of Ageing, Yan, Zhennan, Zhang, Shaoting, Liu, Xiaofeng, Metaxas, Dimitris N., Montillo, Albert

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 7%
Unknown 13 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 43%
Student > Ph. D. Student 4 29%
Student > Master 2 14%
Professor 1 7%
Student > Bachelor 1 7%
Other 0 0%
Readers by discipline Count As %
Computer Science 8 57%
Engineering 3 21%
Neuroscience 1 7%
Physics and Astronomy 1 7%
Unknown 1 7%