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Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures

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Cover of 'Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures'

Table of Contents

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    Book Overview
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    Chapter 1 Shape-Based Pose Estimation of Robotic Surgical Instruments
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    Chapter 2 3D Endoscope System Using Asynchronously Blinking Grid Pattern Projection for HDR Image Synthesis
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    Chapter 3 Towards Real-Time Polyp Detection in Colonoscopy Videos: Adapting Still Frame-Based Methodologies for Video Sequences Analysis
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    Chapter 4 Progressive Hand-Eye Calibration for Laparoscopic Surgery Navigation
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    Chapter 5 Learning Camera Pose from Optical Colonoscopy Frames Through Deep Convolutional Neural Network (CNN)
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    Chapter 6 Motion Vector for Outlier Elimination in Feature Matching and Its Application in SLAM Based Laparoscopic Tracking
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    Chapter 7 Image-Based Smoke Detection in Laparoscopic Videos
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    Chapter 8 Fully Automatic Detection of Distal Radius Fractures from Posteroanterior and Lateral Radiographs
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    Chapter 9 Automated Characterization of Pyelocalyceal Anatomy Using CT Urograms to Aid in Management of Kidney Stones
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    Chapter 10 Local Phase-Based Learning for Needle Detection and Localization in 3D Ultrasound
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    Chapter 11 Intracranial Volume Quantification from 3D Photography
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    Chapter 12 Automatic Near Real-Time Evaluation of 3D Ultrasound Scan Adequacy for Developmental Dysplasia of the Hip
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    Chapter 13 Automatic Sentinel Lymph Node Localization in Head and Neck Cancer Using a Coupled Shape Model Algorithm
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    Chapter 14 Towards an Automated Segmentation of the Ventro-Intermediate Thalamic Nucleus
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    Chapter 15 Classification of Confocal Endomicroscopy Patterns for Diagnosis of Lung Cancer
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    Chapter 16 Automated Classification for Breast Cancer Histopathology Images: Is Stain Normalization Important?
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    Chapter 17 Hybrid Tracking for Improved Registration of Laparoscopic Ultrasound and Laparoscopic Video for Augmented Reality
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Title
Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures
Published by
Springer International Publishing, September 2017
DOI 10.1007/978-3-319-67543-5
ISBNs
978-3-31-967542-8, 978-3-31-967543-5
Editors

Cardoso, M. Jorge, Arbel, Tal, Luo, Xiongbiao, Wesarg, Stefan, Reichl, Tobias, González Ballester, Miguel Ángel, McLeod, Jonathan, Drechsler, Klaus, Peters, Terry, Erdt, Marius, Mori, Kensaku, Linguraru, Marius George, Uhl, Andreas, Oyarzun Laura, Cristina, Shekhar, Raj

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 33 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 24%
Student > Master 5 15%
Researcher 2 6%
Student > Bachelor 2 6%
Professor 1 3%
Other 3 9%
Unknown 12 36%
Readers by discipline Count As %
Computer Science 7 21%
Engineering 6 18%
Medicine and Dentistry 3 9%
Mathematics 2 6%
Agricultural and Biological Sciences 1 3%
Other 1 3%
Unknown 13 39%