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Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

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Cover of 'Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics'

Table of Contents

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    Book Overview
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    Chapter 1 Pancreas Segmentation in CT and MRI via Task-Specific Network Design and Recurrent Neural Contextual Learning
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    Chapter 2 Deep Learning for Muscle Pathology Image Analysis
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    Chapter 3 2D-Based Coarse-to-Fine Approaches for Small Target Segmentation in Abdominal CT Scans
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    Chapter 4 Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples
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    Chapter 5 Unsupervised Domain Adaptation of ConvNets for Medical Image Segmentation via Adversarial Learning
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    Chapter 6 Glaucoma Detection Based on Deep Learning Network in Fundus Image
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    Chapter 7 Thoracic Disease Identification and Localization with Limited Supervision
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    Chapter 8 Deep Reinforcement Learning for Detecting Breast Lesions from DCE-MRI
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    Chapter 9 Automatic Vertebra Labeling in Large-Scale Medical Images Using Deep Image-to-Image Network with Message Passing and Sparsity Regularization
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    Chapter 10 Anisotropic Hybrid Network for Cross-Dimension Transferable Feature Learning in 3D Medical Images
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    Chapter 11 Deep Hashing and Its Application for Histopathology Image Analysis
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    Chapter 12 Tumor Growth Prediction Using Convolutional Networks
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    Chapter 13 Deep Spatial-Temporal Convolutional Neural Networks for Medical Image Restoration
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    Chapter 14 Generative Low-Dose CT Image Denoising
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    Chapter 15 Image Quality Assessment for Population Cardiac Magnetic Resonance Imaging
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    Chapter 16 Agent-Based Methods for Medical Image Registration
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    Chapter 17 Deep Learning for Functional Brain Connectivity: Are We There Yet?
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    Chapter 18 ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases
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    Chapter 19 Automatic Classification and Reporting of Multiple Common Thorax Diseases Using Chest Radiographs
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    Chapter 20 Deep Lesion Graph in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-Scale Lesion Database
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    Chapter 21 Simultaneous Super-Resolution and Cross-Modality Synthesis in Magnetic Resonance Imaging
Attention for Chapter 4: Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples
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