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Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures

Overview of attention for book
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
Attention for Chapter 14: Towards an Automated Segmentation of the Ventro-Intermediate Thalamic Nucleus
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Citations

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Chapter title
Towards an Automated Segmentation of the Ventro-Intermediate Thalamic Nucleus
Chapter number 14
Book title
Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures
Published by
Springer, Cham, September 2017
DOI 10.1007/978-3-319-67543-5_14
Book ISBNs
978-3-31-967542-8, 978-3-31-967543-5
Authors

Elena Najdenovska, Constantin Tuleasca, João Jorge, José P. Marques, Philippe Maeder, Jean-Philippe Thiran, Marc Levivier, Meritxell Bach Cuadra, Najdenovska, Elena, Tuleasca, Constantin, Jorge, João, Marques, José P., Maeder, Philippe, Thiran, Jean-Philippe, Levivier, Marc, Cuadra, Meritxell Bach

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 20%
Other 1 20%
Student > Postgraduate 1 20%
Unknown 2 40%
Readers by discipline Count As %
Medicine and Dentistry 2 40%
Engineering 1 20%
Unknown 2 40%

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