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Medical Image Understanding and Analysis

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Cover of 'Medical Image Understanding and Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 End-to-End Learning of a Conditional Random Field for Intra-retinal Layer Segmentation in Optical Coherence Tomography
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    Chapter 2 Superpixel-Based Line Operator for Retinal Blood Vessel Segmentation
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    Chapter 3 Automatic Detection and Identification of Retinal Vessel Junctions in Colour Fundus Photography
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    Chapter 4 Fast Optic Disc Segmentation in Retinal Images Using Polar Transform
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    Chapter 5 A Novel Technique for Splat Generation and Patch Level Prediction in Diabetic Retinopathy
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    Chapter 6 Deep Residual Networks for Quantification of Muscle Fiber Orientation and Curvature from Ultrasound Images
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    Chapter 7 Modelling, Speckle Simulation and Quality Evaluation of Synthetic Ultrasound Images
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    Chapter 8 Multi-level Trainable Segmentation for Measuring Gestational and Yolk Sacs from Ultrasound Images
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    Chapter 9 Weakly Supervised Learning of Placental Ultrasound Images with Residual Networks
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    Chapter 10 Edge Aware Geometric Filter for Ultrasound Image Enhancement
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    Chapter 11 Tissues Classification of the Cardiovascular System Using Texture Descriptors
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    Chapter 12 Multidimensional Assessments of Abdominal Aortic Aneurysms by Magnetic Resonance Against Ultrasound Diameter Measurements
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    Chapter 13 Comparison of Automatic Vessel Segmentation Techniques for Whole Body Magnetic Resonance Angiography with Limited Ground Truth Data
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    Chapter 14 Evaluating Classifiers for Atherosclerotic Plaque Component Segmentation in MRI
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    Chapter 15 Cardiac Mesh Reconstruction from Sparse, Heterogeneous Contours
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    Chapter 16 Classification of Cross-sections for Vascular Skeleton Extraction Using Convolutional Neural Networks
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    Chapter 17 Segmenting Atrial Fibrosis from Late Gadolinium-Enhanced Cardiac MRI by Deep-Learned Features with Stacked Sparse Auto-Encoders
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    Chapter 18 Improved CTA Coronary Segmentation with a Volume-Specific Intensity Threshold
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    Chapter 19 Segmentation of Abdominal Aortic Aneurysm (AAA) Based on Topology Prior Model
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    Chapter 20 Automated LGE Myocardial Scar Segmentation Using MaskSLIC Supervoxels - Replicating the Clinical Method
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    Chapter 21 Multi-task Fully Convolutional Network for Brain Tumour Segmentation
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    Chapter 22 FF-CNN: An Efficient Deep Neural Network for Mitosis Detection in Breast Cancer Histological Images
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    Chapter 23 Classification of Cervical-Cancer Using Pap-Smear Images: A Convolutional Neural Network Approach
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    Chapter 24 New Level Set Model in Follow Up Radiotherapy Image Analysis
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    Chapter 25 Topological Analysis of the Vasculature of Angiopoietin-Expressing Tumours Through Scale-Space Tracing
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    Chapter 26 Quantitative Electron Density CT Imaging for Radiotherapy Planning
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    Chapter 27 3D Texton Based Prostate Cancer Detection Using Multiparametric Magnetic Resonance Imaging
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    Chapter 28 Tumor Segmentation in Whole Slide Images Using Persistent Homology and Deep Convolutional Features
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    Chapter 29 Multispectral Biopsy Image Based Colorectal Tumor Grader
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    Chapter 30 Semi-automatic Bone Marrow Evaluation in PETCT for Multiple Myeloma
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    Chapter 31 A Texton-Based Approach for the Classification of Benign and Malignant Masses in Mammograms
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    Chapter 32 Breast Density Classification Using Multiresolution Local Quinary Patterns in Mammograms
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    Chapter 33 Rich Interaction and Feedback Supported Mammographic Training: A Trial of an Augmented Reality Approach
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    Chapter 34 A Robust Algorithm for Automated HER2 Scoring in Breast Cancer Histology Slides Using Characteristic Curves
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    Chapter 35 Investigating the Effect of Various Augmentations on the Input Data Fed to a Convolutional Neural Network for the Task of Mammographic Mass Classification
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    Chapter 36 Learning Longitudinal MRI Patterns by SICE and Deep Learning: Assessing the Alzheimer’s Disease Progression
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    Chapter 37 Improved Reference Tracts for Unsupervised Brain White Matter Tractography
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    Chapter 38 Review of Fast Density-Peaks Clustering and Its Application to Pediatric White Matter Tracts
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    Chapter 39 A Deep Learning Pipeline to Delineate Proliferative Areas of Intracranial Tumors in Digital Slides
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    Chapter 40 Tree-Based Ensemble Learning Techniques in the Analysis of Parkinsonian Syndromes
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    Chapter 41 Evaluating Alzheimer’s Disease Diagnosis Using Texture Analysis
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    Chapter 42 Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology
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    Chapter 43 Context-Aware Convolutional Neural Networks for Stroke Sign Detection in Non-contrast CT Scans
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    Chapter 44 Automatic Brain Tumor Detection and Segmentation Using U-Net Based Fully Convolutional Networks
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    Chapter 45 Modeling Diffusion Directions of Corpus Callosum
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    Chapter 46 Feature Extraction and Classification to Diagnose Hypoxic-Ischemic Encephalopathy Patients by Using Susceptibility-Weighted MRI Images
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    Chapter 47 Evaluation of an Automatic ASPECT Scoring System for Acute Stroke in Non-Contrast CT
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    Chapter 48 Pre-processing Techniques for Colour Digital Pathology Image Analysis
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    Chapter 49 Motion Compensation Using Range Imaging in C-Arm Cone-Beam CT
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    Chapter 50 Medical Image Colorization for Better Visualization and Segmentation
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    Chapter 51 Fetoscopic Panorama Reconstruction: Moving from Ex-vivo to In-vivo
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    Chapter 52 Finite Element Based Interactive Elastic Image Registration
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    Chapter 53 Significance of Magnetic Resonance Image Details in Sparse Representation Based Super Resolution
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    Chapter 54 Restoration of Intensity Uniformity of Bi-contrast MRI Data with Bayesian Co-occurrence Coring
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    Chapter 55 Can Planning Images Reduce Scatter in Follow-Up Cone-Beam CT?
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    Chapter 56 Super Resolution Convolutional Neural Networks for Increasing Spatial Resolution of $$^{1}$$ H Magnetic Resonance Spectroscopic Imaging
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    Chapter 57 Radial Basis Function Interpolation for Rapid Interactive Segmentation of 3-D Medical Images
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    Chapter 58 Deep Quantitative Liver Segmentation and Vessel Exclusion to Assist in Liver Assessment
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    Chapter 59 Initial Results of Multilevel Principal Components Analysis of Facial Shape
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    Chapter 60 Estimating Rodent Brain Volume by a Deformable Contour Model
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    Chapter 61 MIMONet: Gland Segmentation Using Multi-Input-Multi-Output Convolutional Neural Network
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    Chapter 62 Automated Polyp Segmentation in Colonoscopy Frames Using Fully Convolutional Neural Network and Textons
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    Chapter 63 Model-Based Correction of Segmentation Errors in Digitised Histological Images
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    Chapter 64 A 2D Morphable Model of Craniofacial Profile and Its Application to Craniosynostosis
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    Chapter 65 A Comparison of Texture Features Versus Deep Learning for Image Classification in Interstitial Lung Disease
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    Chapter 66 A Novel High-Throughput Multispectral Cell Segmentation Algorithm
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    Chapter 67 Unsupervised Superpixel-Based Segmentation of Histopathological Images with Consensus Clustering
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    Chapter 68 A Non-integer Step Index PCNN Model and Its Applications
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    Chapter 69 Segmentation of Overlapping Macrophages Using Anglegram Analysis
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    Chapter 70 New Disagreement Metrics Incorporating Spatial Detail – Applications to Lung Imaging
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    Chapter 71 Unsupervised Segmentation of Cervical Cell Nuclei via Adaptive Clustering
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    Chapter 72 Simultaneous Cell Detection and Classification with an Asymmetric Deep Autoencoder in Bone Marrow Histology Images
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    Chapter 73 Glomerulus Classification with Convolutional Neural Networks
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    Chapter 74 Paediatric Frontal Chest Radiograph Screening with Fine-Tuned Convolutional Neural Networks
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    Chapter 75 Automatic Hotspots Detection for Intracellular Calcium Analysis in Fluorescence Microscopic Videos
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    Chapter 76 Cervical Nuclei Classification: Feature Engineering Versus Deep Belief Network
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    Chapter 77 A New Method of Surgical Tracking System Based on Fiducial Marker
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    Chapter 78 Automated Detection of Barrett’s Esophagus Using Endoscopic Images: A Survey
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    Chapter 79 Estimating Bacterial Load in FCFM Imaging
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    Chapter 80 Random Forest-Based Feature Importance for HEp-2 Cell Image Classification
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    Chapter 81 Automatic Quantification of Epidermis Curvature in H&E Stained Microscopic Skin Image of Mice
Attention for Chapter 42: Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology
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Chapter title
Evaluation of Four Supervised Learning Schemes in White Matter Hyperintensities Segmentation in Absence or Mild Presence of Vascular Pathology
Chapter number 42
Book title
Medical Image Understanding and Analysis
Published by
Springer, Cham, June 2017
DOI 10.1007/978-3-319-60964-5_42
Book ISBNs
978-3-31-960963-8, 978-3-31-960964-5

Muhammad Febrian Rachmadi, Maria del C. Valdés-Hernández, Maria Leonora Fatimah Agan, Taku Komura, The Alzheimer’s Disease Neuroimaging Initiative

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The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 17%
Researcher 1 17%
Student > Postgraduate 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Computer Science 2 33%
Agricultural and Biological Sciences 1 17%
Decision Sciences 1 17%
Neuroscience 1 17%
Unknown 1 17%