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Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions

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Table of Contents

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    Book Overview
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    Chapter 1 A Learning based Hierarchical Framework for Automatic Prostate Localization in CT Images.
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    Chapter 2 Fast Automatic Multi-atlas Segmentation of the Prostate from 3D MR Images
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    Chapter 3 A Morphological Atlas of Prostate’s Zonal Anatomy for Construction of Realistic Digital and Physical Phantoms
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    Chapter 4 Multiple Mean Models of Statistical Shape and Probability Priors for Automatic Prostate Segmentation
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    Chapter 5 Facilitating 3D Spectroscopic Imaging through Automatic Prostate Localization in MR Images Using Random Walker Segmentation Initialized via Boosted Classifiers
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    Chapter 6 Intrafraction Prostate Motion Correction Using a Non-rectilinear Image Frame
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    Chapter 7 Spatial Characterization and Classification of Rectal Bleeding in Prostate Cancer Radiotherapy with a Voxel-Based Principal Components Analysis Model for 3D Dose Distribution
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    Chapter 8 Dose Monitoring in Prostate Cancer Radiotherapy Using CBCT to CT Constrained Elastic Image Registration
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    Chapter 9 Weighted Combination of Multi-Parametric MR Imaging Markers for Evaluating Radiation Therapy Related Changes in the Prostate
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    Chapter 10 Required Accuracy of MR-US Registration for Prostate Biopsies
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    Chapter 11 A PET/CT Directed, 3D Ultrasound-Guided Biopsy System for Prostate Cancer
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    Chapter 12 Improving Prostate Biopsy Protocol with a Computer Aided Detection Tool Based on Semi-supervised Learning
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    Chapter 13 Fusion of MRI to 3D TRUS for Mechanically-Assisted Targeted Prostate Biopsy: System Design and Initial Clinical Experience
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    Chapter 14 Validation of Direct Registration of Whole-Mount Prostate Digital Histopathology to ex vivo MR Images
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    Chapter 15 Variable Ranking with PCA: Finding Multiparametric MR Imaging Markers for Prostate Cancer Diagnosis and Grading
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