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Computer-Assisted and Robotic Endoscopy

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Cover of 'Computer-Assisted and Robotic Endoscopy'

Table of Contents

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    Book Overview
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    Chapter 1 Impact of Lossy Image Compression on CAD Support Systems for Colonoscopy
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    Chapter 2 Pointing with a One-Eyed Cursor for Supervised Training in Minimally Invasive Robotic Surgery
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    Chapter 3 Instrument Tracking with Rigid Part Mixtures Model
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    Chapter 4 Stereoscopic Motion Magnification in Minimally-Invasive Robotic Prostatectomy
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    Chapter 5 Tissue Shape Acquisition with a Hybrid Structured Light and Photometric Stereo Endoscopic System
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    Chapter 6 Using Shading to Register an Intraoperative CT Scan to a Laparoscopic Image
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    Chapter 7 Surgical Simulation Robot with Haptics and Friction Compensation
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    Chapter 8 A Real-Time Target Tracking Algorithm for a Robotic Flexible Endoscopy Platform
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    Chapter 9 2D/3D Real-Time Tracking of Surgical Instruments Based on Endoscopic Image Processing
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    Chapter 10 Tracking Accuracy Evaluation of Electromagnetic Sensor-Based Colonoscope Tracking Method
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    Chapter 11 Non Rigid Registration of 3D Images to Laparoscopic Video for Image Guided Surgery
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    Chapter 12 A Novel Dual LevelSets Competition Model for Colon Region Segmentation
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    Chapter 13 Enhancing Normal-Abnormal Classification Accuracy in Colonoscopy Videos via Temporal Consistency
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    Chapter 14 3D Stable Spatio-Temporal Polyp Localization in Colonoscopy Videos
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    Chapter 15 Uninformative Frame Detection in Colonoscopy Through Motion, Edge and Color Features
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    Chapter 16 Erratum to: Computer-Assisted and Robotic Endoscopy
Attention for Chapter 13: Enhancing Normal-Abnormal Classification Accuracy in Colonoscopy Videos via Temporal Consistency
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Citations

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Chapter title
Enhancing Normal-Abnormal Classification Accuracy in Colonoscopy Videos via Temporal Consistency
Chapter number 13
Book title
Computer-Assisted and Robotic Endoscopy
Published by
Springer, Cham, October 2015
DOI 10.1007/978-3-319-29965-5_13
Book ISBNs
978-3-31-929964-8, 978-3-31-929965-5
Authors

Gustavo A. Puerto-Souza, Siyamalan Manivannan, María P. Trujillo, Jesus A. Hoyos, Emanuele Trucco, Gian-Luca Mariottini, Puerto-Souza, Gustavo A., Manivannan, Siyamalan, Trujillo, María P., Hoyos, Jesus A., Trucco, Emanuele, Mariottini, Gian-Luca

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 %
Other 2 40%
Professor > Associate Professor 1 20%
Unknown 2 40%
Readers by discipline Count As %
Computer Science 1 20%
Neuroscience 1 20%
Unknown 3 60%