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Capsule Networks against Medical Imaging Data Challenges

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Cover of 'Capsule Networks against Medical Imaging Data Challenges'

Table of Contents

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    Book Overview
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    Chapter 1 Blood-Flow Estimation in the Hepatic Arteries Based on 3D/2D Angiography Registration
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    Chapter 2 Automated Quantification of Blood Flow Velocity from Time-Resolved CT Angiography
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    Chapter 3 Multiple Device Segmentation for Fluoroscopic Imaging Using Multi-task Learning
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    Chapter 4 Segmentation of the Aorta Using Active Contours with Histogram-Based Descriptors
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    Chapter 5 Layer Separation in X-ray Angiograms for Vessel Enhancement with Fully Convolutional Network
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    Chapter 6 Generation of a HER2 Breast Cancer Gold-Standard Using Supervised Learning from Multiple Experts
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    Chapter 7 Deep Learning-Based Detection and Segmentation for BVS Struts in IVOCT Images
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    Chapter 8 Towards Automatic Measurement of Type B Aortic Dissection Parameters: Methods, Applications and Perspective
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    Chapter 9 Prediction of FFR from IVUS Images Using Machine Learning
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    Chapter 10 Deep Learning Retinal Vessel Segmentation from a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks
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    Chapter 11 An Efficient and Comprehensive Labeling Tool for Large-Scale Annotation of Fundus Images
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    Chapter 12 Crowd Disagreement About Medical Images Is Informative
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    Chapter 13 Imperfect Segmentation Labels: How Much Do They Matter?
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    Chapter 14 Crowdsourcing Annotation of Surgical Instruments in Videos of Cataract Surgery
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    Chapter 15 Four-Dimensional ASL MR Angiography Phantoms with Noise Learned by Neural Styling
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    Chapter 16 Feature Learning Based on Visual Similarity Triplets in Medical Image Analysis: A Case Study of Emphysema in Chest CT Scans
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    Chapter 17 Capsule Networks Against Medical Imaging Data Challenges
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    Chapter 18 Fully Automatic Segmentation of Coronary Arteries Based on Deep Neural Network in Intravascular Ultrasound Images
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    Chapter 19 Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos
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    Chapter 20 Radiology Objects in COntext (ROCO): A Multimodal Image Dataset
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    Chapter 21 Improving Out-of-Sample Prediction of Quality of MRIQC
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

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