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Computational Radiology for Orthopaedic Interventions

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Cover of 'Computational Radiology for Orthopaedic Interventions'

Table of Contents

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    Book Overview
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    Chapter 1 Statistical Shape Modeling of Musculoskeletal Structures and Its Applications
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    Chapter 2 Automated 3D Lumbar Intervertebral Disc Segmentation from MRI Data Sets
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    Chapter 3 Registration for Orthopaedic Interventions
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    Chapter 4 3D Augmented Reality Based Orthopaedic Interventions
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    Chapter 5 Fully Automatic Segmentation of Hip CT Images
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    Chapter 6 Quantification of Implant Osseointegration by Means of a Reconstruction Algorithm on Micro-computed Tomography Images
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    Chapter 7 Surgical Treatment of Long-Bone Deformities: 3D Preoperative Planning and Patient-Specific Instrumentation
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    Chapter 8 Preoperative Planning of Periacetabular Osteotomy (PAO)
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    Chapter 9 Computer Assisted Diagnosis and Treatment Planning of Femoroacetabular Impingement (FAI)
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    Chapter 10 2D-3D Reconstruction-Based Planning of Total Hip Arthroplasty
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    Chapter 11 Image Fusion for Computer-Assisted Bone Tumor Surgery
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    Chapter 12 Intraoperative Three-Dimensional Imaging in Fracture Treatment with a Mobile C-Arm
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    Chapter 13 Augmented Reality in Orthopaedic Interventions and Education
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    Chapter 14 State of the Art of Ultrasound-Based Registration in Computer Assisted Orthopedic Interventions
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    Chapter 15 Medical Robotics for Musculoskeletal Surgery
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    Chapter 16 A Cost-Effective Surgical Navigation Solution for Periacetabular Osteotomy (PAO) Surgery
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    Chapter 17 Computer Assisted Hip Resurfacing Using Patient-Specific Instrument Guides
Attention for Chapter 5: Fully Automatic Segmentation of Hip CT Images
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Citations

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9 Mendeley
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Chapter title
Fully Automatic Segmentation of Hip CT Images
Chapter number 5
Book title
Computational Radiology for Orthopaedic Interventions
Published by
Springer, Cham, January 2016
DOI 10.1007/978-3-319-23482-3_5
Book ISBNs
978-3-31-923481-6, 978-3-31-923482-3
Authors

Chengwen Chu, Junjie Bai, Xiaodong Wu, Guoyan Zheng

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 2 22%
Student > Ph. D. Student 1 11%
Lecturer 1 11%
Researcher 1 11%
Student > Postgraduate 1 11%
Other 0 0%
Unknown 3 33%
Readers by discipline Count As %
Computer Science 2 22%
Engineering 2 22%
Unknown 5 56%