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Computer-Assisted and Robotic Endoscopy

Overview of attention for book
Cover of 'Computer-Assisted and Robotic Endoscopy'

Table of Contents

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    Book Overview
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    Chapter 1 Transfer Learning for Colonic Polyp Classification Using Off-the-Shelf CNN Features
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    Chapter 2 Probe Tracking and Its Application in Automatic Acquisition Using a Trans-Esophageal Ultrasound Robot
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    Chapter 3 Hybrid Tracking and Matching Algorithm for Mosaicking Multiple Surgical Views
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    Chapter 4 Assessment of Electromagnetic Tracking Accuracy for Endoscopic Ultrasound
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    Chapter 5 Extended Multi-resolution Local Patterns - A Discriminative Feature Learning Approach for Colonoscopy Image Classification
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    Chapter 6 Evaluation of i-Scan Virtual Chromoendoscopy and Traditional Chromoendoscopy for the Automated Diagnosis of Colonic Polyps
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    Chapter 7 ORBSLAM-Based Endoscope Tracking and 3D Reconstruction
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    Chapter 8 Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking
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    Chapter 9 Weakly-Supervised Lesion Detection in Video Capsule Endoscopy Based on a Bag-of-Colour Features Model
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    Chapter 10 Convolutional Neural Network Architectures for the Automated Diagnosis of Celiac Disease
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    Chapter 11 A System for Augmented Reality Guided Laparoscopic Tumour Resection with Quantitative Ex-vivo User Evaluation
Attention for Chapter 8: Real-Time Segmentation of Non-rigid Surgical Tools Based on Deep Learning and Tracking
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  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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