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Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions

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Cover of 'Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions'

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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Citations

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Title
Prostate Cancer Imaging. Image Analysis and Image-Guided Interventions
Published by
Springer Berlin Heidelberg, September 2011
DOI 10.1007/978-3-642-23944-1
ISBNs
978-3-64-223943-4, 978-3-64-223944-1
Editors

Madabhushi, Anant, Dowling, Jason, Huisman, Henkjan, Barratt, Dean, Madabhushi, Anant, Dowling, Jason, Huisman, Henkjan, Barratt, Dean

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 11 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 45%
Student > Bachelor 2 18%
Other 1 9%
Student > Master 1 9%
Unknown 2 18%
Readers by discipline Count As %
Medicine and Dentistry 3 27%
Pharmacology, Toxicology and Pharmaceutical Science 1 9%
Biochemistry, Genetics and Molecular Biology 1 9%
Computer Science 1 9%
Agricultural and Biological Sciences 1 9%
Other 2 18%
Unknown 2 18%