Medical Image Understanding and Analysis

Table of Contents

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   Book Overview
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   Chapter 1 Tissue Classification to Support Local Active Delineation of Brain Tumors
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   Chapter 2 Using a Conditional Generative Adversarial Network (cGAN) for Prostate Segmentation
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   Chapter 3 A Novel Application of Multifractal Features for Detection of Microcalcifications in Digital Mammograms
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   Chapter 4 Wilms’ Tumor in Childhood: Can Pattern Recognition Help for Classification?
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   Chapter 5 Multi-scale Tree-Based Topological Modelling and Classification of Micro-calcifications
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   Chapter 6 Automated Mobile Image Acquisition of Skin Wounds Using Real-Time Deep Neural Networks
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   Chapter 7 Hyperspectral Imaging Combined with Machine Learning Classifiers for Diabetic Leg Ulcer Assessment – A Case Study
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   Chapter 8 Classification of Ten Skin Lesion Classes: Hierarchical KNN versus Deep Net
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    Chapter 9 Multilevel Models of Age-Related Changes in Facial Shape in Adolescents
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    Chapter 10 Spatial Modelling of Retinal Thickness in Images from Patients with Diabetic Macular Oedema
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    Chapter 11 Incremental Learning of Fetal Heart Anatomies Using Interpretable Saliency Maps
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    Chapter 12 Improving Fetal Head Contour Detection by Object Localisation with Deep Learning
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    Chapter 13 Automated Fetal Brain Extraction from Clinical Ultrasound Volumes Using 3D Convolutional Neural Networks
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    Chapter 13 Automated fetal brain extraction from clinical Ultrasound volumes using 3D Convolutional Neural Networks
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    Chapter 14 Multi-task CNN for Structural Semantic Segmentation in 3D Fetal Brain Ultrasound
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    Chapter 15 Towards Capturing Sonographic Experience: Cognition-Inspired Ultrasound Video Saliency Prediction
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    Chapter 16 A Novel Deep Learning Based OCTA De-striping Method
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    Chapter 17 Edge Enhancement for Image Segmentation Using a RKHS Method
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    Chapter 18 A Neural Network Approach for Image Reconstruction from a Single X-Ray Projection
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    Chapter 19 Deep Vectorization Convolutional Neural Networks for Denoising in Mammogram Using Enhanced Image
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    Chapter 20 A Hybrid Machine Learning Approach Using LBP Descriptor and PCA for Age-Related Macular Degeneration Classification in OCTA Images
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    Chapter 21 Combining Fine- and Coarse-Grained Classifiers for Diabetic Retinopathy Detection
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    Chapter 22 Automated Quantification of Retinal Microvasculature from OCT Angiography Using Dictionary-Based Vessel Segmentation
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    Chapter 23 Validating Segmentation of the Zebrafish Vasculature
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    Chapter 24 Analysis of Spatial Spectral Features of Dynamic Contrast-Enhanced Brain Magnetic Resonance Images for Studying Small Vessel Disease
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    Chapter 25 Segmentation of Arteriovenous Malformation Based on Weighted Breadth-First Search of Vascular Skeleton
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    Chapter 26 A Variational Joint Segmentation and Registration Framework for Multimodal Images
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    Chapter 27 An Unsupervised Deep Learning Method for Diffeomorphic Mono-and Multi-modal Image Registration
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    Chapter 28 Automatic Detection and Visualisation of Metastatic Bone Disease
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    Chapter 29 High-Order Markov Random Field Based Image Registration for Pulmonary CT
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    Chapter 30 A Fully Automated Segmentation System of Positron Emission Tomography Studies
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    Chapter 31 A General Framework for Localizing and Locally Segmenting Correlated Objects: A Case Study on Intervertebral Discs in Multi-modality MR Images
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    Chapter 32 Polyp Segmentation with Fully Convolutional Deep Dilation Neural Network
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    Chapter 33 Convolutional Attention on Images for Locating Macular Edema
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    Chapter 34 Optic Disc and Fovea Localisation in Ultra-widefield Scanning Laser Ophthalmoscope Images Captured in Multiple Modalities
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    Chapter 35 Deploying Deep Learning into Practice: A Case Study on Fundus Segmentation
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    Chapter 36 Joint Destriping and Segmentation of OCTA Images
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    Chapter 37 AI-Based Method for Detecting Retinal Haemorrhage in Eyes with Malarial Retinopathy
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    Chapter 38 An Ensemble of Deep Neural Networks for Segmentation of Lung and Clavicle on Chest Radiographs
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    Chapter 39 Automated Corneal Nerve Segmentation Using Weighted Local Phase Tensor
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    Chapter 40 Comparison of Interactions Between Control and Mutant Macrophages
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    Chapter 41 Comparison of Multi-atlas Segmentation and U-Net Approaches for Automated 3D Liver Delineation in MRI
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    Chapter 42 DAISY Descriptors Combined with Deep Learning to Diagnose Retinal Disease from High Resolution 2D OCT Images
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    Chapter 43 Segmentation of Left Ventricle in 2D Echocardiography Using Deep Learning