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Fetal, Infant and Ophthalmic Medical Image Analysis

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Cover of 'Fetal, Infant and Ophthalmic Medical Image Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Template-Free Estimation of Intracranial Volume: A Preterm Birth Animal Model Study
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    Chapter 2 Assessing Reorganisation of Functional Connectivity in the Infant Brain
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    Chapter 3 Fetal Skull Segmentation in 3D Ultrasound via Structured Geodesic Random Forest
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    Chapter 4 Fast Registration of 3D Fetal Ultrasound Images Using Learned Corresponding Salient Points
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    Chapter 5 Automatic Segmentation of the Intracranial Volume in Fetal MR Images
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    Chapter 6 Abdomen Segmentation in 3D Fetal Ultrasound Using CNN-powered Deformable Models
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    Chapter 7 Multi-organ Detection in 3D Fetal Ultrasound with Machine Learning
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    Chapter 8 Robust Regression of Brain Maturation from 3D Fetal Neurosonography Using CRNs
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    Chapter 9 Segmentation of Retinal Blood Vessels Using Dictionary Learning Techniques
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    Chapter 10 Detecting Early Choroidal Changes Using Piecewise Rigid Image Registration and Eye-Shape Adherent Regularization
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    Chapter 11 Patch-Based Deep Convolutional Neural Network for Corneal Ulcer Area Segmentation
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    Chapter 12 Model-Driven 3-D Regularisation for Robust Segmentation of the Refractive Corneal Surfaces in Spiral OCT Scans
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    Chapter 13 Automatic Retinal Layer Segmentation Based on Live Wire for Central Serous Retinopathy
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    Chapter 14 Retinal Image Quality Classification Using Fine-Tuned CNN
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    Chapter 15 Optic Disc Detection via Deep Learning in Fundus Images
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    Chapter 16 3D Choroid Neovascularization Growth Prediction with Combined Hyperelastic Biomechanical Model and Reaction-Diffusion Model
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    Chapter 17 Retinal Biomarker Discovery for Dementia in an Elderly Diabetic Population
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    Chapter 18 Non-rigid Registration of Retinal OCT Images Using Conditional Correlation Ratio
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    Chapter 19 Joint Optic Disc and Cup Segmentation Using Fully Convolutional and Adversarial Networks
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    Chapter 20 Automated Segmentation of the Choroid in EDI-OCT Images with Retinal Pathology Using Convolution Neural Networks
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    Chapter 21 Spatiotemporal Analysis of Structural Changes of the Lamina Cribrosa
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    Chapter 22 Fast Blur Detection and Parametric Deconvolution of Retinal Fundus Images
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    Chapter 23 Towards Topological Correct Segmentation of Macular OCT from Cascaded FCNs
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    Chapter 24 Boosted Exudate Segmentation in Retinal Images Using Residual Nets
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    Chapter 25 Development of Clinically Based Corneal Nerves Tortuosity Indexes
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    Chapter 26 A Comparative Study Towards the Establishment of an Automatic Retinal Vessel Width Measurement Technique
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    Chapter 27 Automatic Detection of Folds and Wrinkles Due to Swelling of the Optic Disc
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    Chapter 28 Representation Learning for Retinal Vasculature Embeddings
Attention for Chapter 16: 3D Choroid Neovascularization Growth Prediction with Combined Hyperelastic Biomechanical Model and Reaction-Diffusion Model
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Chapter title
3D Choroid Neovascularization Growth Prediction with Combined Hyperelastic Biomechanical Model and Reaction-Diffusion Model
Chapter number 16
Book title
Fetal, Infant and Ophthalmic Medical Image Analysis
Published by
Springer, Cham, September 2017
DOI 10.1007/978-3-319-67561-9_16
Book ISBNs
978-3-31-967560-2, 978-3-31-967561-9
Authors

Chang Zuo, Fei Shi, Weifang Zhu, Haoyu Chen, Xinjian Chen

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Unknown 2 100%