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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 12: Tumor Growth Prediction Using Convolutional Networks
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Citations

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Chapter title
Tumor Growth Prediction Using Convolutional Networks
Chapter number 12
Book title
Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics
Published by
Springer, Cham, January 2019
DOI 10.1007/978-3-030-13969-8_12
Book ISBNs
978-3-03-013968-1, 978-3-03-013969-8
Authors

Ling Zhang, Lu Le, Ronald M. Summers, Electron Kebebew, Jianhua Yao, Zhang, Ling, Le, Lu, Summers, Ronald M., Kebebew, Electron, Yao, Jianhua

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 33%
Researcher 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Unspecified 1 33%
Linguistics 1 33%
Unknown 1 33%