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Clinical Image-Based Procedures. Translational Research in Medical Imaging

Overview of attention for book
Cover of 'Clinical Image-Based Procedures. Translational Research in Medical Imaging'

Table of Contents

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    Book Overview
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    Chapter 1 Detection of Wrist Fractures in X-Ray Images
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    Chapter 2 Fast, Intuitive, Vision-Based: Performance Metrics for Visual Registration, Instrument Guidance, and Image Fusion
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    Chapter 3 Stable Anatomical Structure Tracking for Video-Bronchoscopy Navigation
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    Chapter 4 Uncertainty Quantification of Cochlear Implant Insertion from CT Images
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    Chapter 5 Validation of an Improved Patient-Specific Mold Design for Registration of In-vivo MRI and Histology of the Prostate
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    Chapter 6 Trajectory Smoothing for Guiding Aortic Valve Delivery with Transapical Access
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    Chapter 7 Geodesic Registration for Cervical Cancer Radiotherapy
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    Chapter 8 Personalized Optimal Planning for the Surgical Correction of Metopic Craniosynostosis
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    Chapter 9 Towards a Statistical Shape-Aware Deformable Contour Model for Cranial Nerve Identification
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    Chapter 10 An Automatic Free Fluid Detection for Morrison’s-Pouch
Attention for Chapter 7: Geodesic Registration for Cervical Cancer Radiotherapy
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3 Mendeley
Summary
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Chapter title
Geodesic Registration for Cervical Cancer Radiotherapy
Chapter number 7
Book title
Clinical Image-Based Procedures. Translational Research in Medical Imaging
Published by
Springer, Cham, October 2016
DOI 10.1007/978-3-319-46472-5_7
Book ISBNs
978-3-31-946471-8, 978-3-31-946472-5
Authors

Sharmili Roy, John J. Totman, Joseph Ng, Jeffrey Low, Bok A. Choo

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 33%
Student > Bachelor 1 33%
Researcher 1 33%
Readers by discipline Count As %
Nursing and Health Professions 1 33%
Computer Science 1 33%
Engineering 1 33%

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