Machine Learning in Medical Imaging

Table of Contents

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   Book Overview
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   Chapter 1 Brain MR Image Segmentation in Small Dataset with Adversarial Defense and Task Reorganization
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   Chapter 2 Spatial Regularized Classification Network for Spinal Dislocation Diagnosis
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   Chapter 3 Globally-Aware Multiple Instance Classifier for Breast Cancer Screening
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   Chapter 4 Advancing Pancreas Segmentation in Multi-protocol MRI Volumes Using Hausdorff-Sine Loss Function
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   Chapter 5 WSI-Net: Branch-Based and Hierarchy-Aware Network for Segmentation and Classification of Breast Histopathological Whole-Slide Images
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   Chapter 6 Lesion Detection with Deep Aggregated 3D Contextual Feature and Auxiliary Information
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   Chapter 7 MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network
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   Chapter 8 DCCL: A Benchmark for Cervical Cytology Analysis
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    Chapter 9 Smartphone-Supported Malaria Diagnosis Based on Deep Learning
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    Chapter 10 Children’s Neuroblastoma Segmentation Using Morphological Features
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    Chapter 11 GFD Faster R-CNN: Gabor Fractal DenseNet Faster R-CNN for Automatic Detection of Esophageal Abnormalities in Endoscopic Images
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    Chapter 12 Deep Active Lesion Segmentation
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    Chapter 13 Infant Brain Deformable Registration Using Global and Local Label-Driven Deep Regression Learning
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    Chapter 14 A Relation Hashing Network Embedded with Prior Features for Skin Lesion Classification
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    Chapter 15 End-to-End Adversarial Shape Learning for Abdomen Organ Deep Segmentation
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    Chapter 16 Privacy-Preserving Federated Brain Tumour Segmentation
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    Chapter 17 Residual Attention Generative Adversarial Networks for Nuclei Detection on Routine Colon Cancer Histology Images
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    Chapter 18 Semi-supervised Multi-task Learning with Chest X-Ray Images
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    Chapter 19 Novel Bi-directional Images Synthesis Based on WGAN-GP with GMM-Based Noise Generation
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    Chapter 20 Pseudo-labeled Bootstrapping and Multi-stage Transfer Learning for the Classification and Localization of Dysplasia in Barrett’s Esophagus
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    Chapter 21 Anatomy-Aware Self-supervised Fetal MRI Synthesis from Unpaired Ultrasound Images
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    Chapter 22 End-to-End Boundary Aware Networks for Medical Image Segmentation
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    Chapter 23 Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks
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    Chapter 24 Morphological Simplification of Brain MR Images by Deep Learning for Facilitating Deformable Registration
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    Chapter 25 Joint Shape Representation and Classification for Detecting PDAC
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    Chapter 26 FusionNet: Incorporating Shape and Texture for Abnormality Detection in 3D Abdominal CT Scans
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    Chapter 27 Ultrasound Liver Fibrosis Diagnosis Using Multi-indicator Guided Deep Neural Networks
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    Chapter 28 Weakly Supervised Segmentation by a Deep Geodesic Prior
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    Chapter 29 Correspondence-Steered Volumetric Descriptor Learning Using Deep Functional Maps
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    Chapter 30 Sturm: Sparse Tubal-Regularized Multilinear Regression for fMRI
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    Chapter 31 Improving Whole-Brain Neural Decoding of fMRI with Domain Adaptation
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    Chapter 32 Automatic Couinaud Segmentation from CT Volumes on Liver Using GLC-UNet
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    Chapter 33 Biomedical Image Segmentation by Retina-Like Sequential Attention Mechanism Using only a Few Training Images
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    Chapter 34 Conv-MCD: A Plug-and-Play Multi-task Module for Medical Image Segmentation
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    Chapter 35 Detecting Abnormalities in Resting-State Dynamics: An Unsupervised Learning Approach
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    Chapter 36 Distanced LSTM: Time-Distanced Gates in Long Short-Term Memory Models for Lung Cancer Detection
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    Chapter 37 Dense-Residual Attention Network for Skin Lesion Segmentation
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    Chapter 38 Confounder-Aware Visualization of ConvNets
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    Chapter 39 Detecting Lesion Bounding Ellipses with Gaussian Proposal Networks
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    Chapter 40 Modelling Airway Geometry as Stock Market Data Using Bayesian Changepoint Detection
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    Chapter 41 Unsupervised Lesion Detection with Locally Gaussian Approximation
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    Chapter 42 A Hybrid Multi-atrous and Multi-scale Network for Liver Lesion Detection
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    Chapter 43 BOLD fMRI-Based Brain Perfusion Prediction Using Deep Dilated Wide Activation Networks
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    Chapter 44 Jointly Discriminative and Generative Recurrent Neural Networks for Learning from fMRI
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    Chapter 45 Unsupervised Conditional Consensus Adversarial Network for Brain Disease Identification with Structural MRI
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    Chapter 46 A Maximum Entropy Deep Reinforcement Learning Neural Tracker
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    Chapter 47 Weakly Supervised Confidence Learning for Brain MR Image Dense Parcellation
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    Chapter 48 Select, Attend, and Transfer: Light, Learnable Skip Connections
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    Chapter 49 Learning-Based Bone Quality Classification Method for Spinal Metastasis
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    Chapter 50 Automated Segmentation of Skin Lesion Based on Pyramid Attention Network
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    Chapter 51 Relu Cascade of Feature Pyramid Networks for CT Pulmonary Nodule Detection
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    Chapter 52 Joint Localization of Optic Disc and Fovea in Ultra-widefield Fundus Images
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    Chapter 53 Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures
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    Chapter 54 Lesion Detection by Efficiently Bridging 3D Context
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    Chapter 55 Communal Domain Learning for Registration in Drifted Image Spaces
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    Chapter 56 Conv2Warp: An Unsupervised Deformable Image Registration with Continuous Convolution and Warping
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    Chapter 57 Semantic Filtering Through Deep Source Separation on Microscopy Images
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    Chapter 58 Adaptive Functional Connectivity Network Using Parallel Hierarchical BiLSTM for MCI Diagnosis
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    Chapter 59 Multi-template Based Auto-Weighted Adaptive Structural Learning for ASD Diagnosis
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    Chapter 60 Learn to Step-wise Focus on Targets for Biomedical Image Segmentation
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    Chapter 61 Renal Cell Carcinoma Staging with Learnable Image Histogram-Based Deep Neural Network
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    Chapter 62 Weakly Supervised Learning Strategy for Lung Defect Segmentation
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    Chapter 63 Gated Recurrent Neural Networks for Accelerated Ventilation MRI
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    Chapter 64 A Cascaded Multi-modality Analysis in Mild Cognitive Impairment
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    Chapter 65 Deep Residual Learning for Instrument Segmentation in Robotic Surgery
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    Chapter 66 Deep Learning Model Integrating Dilated Convolution and Deep Supervision for Brain Tumor Segmentation in Multi-parametric MRI
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    Chapter 67 A Joint 3D UNet-Graph Neural Network-Based Method for Airway Segmentation from Chest CTs
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    Chapter 68 Automatic Fetal Brain Extraction Using Multi-stage U-Net with Deep Supervision
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    Chapter 69 Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation
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    Chapter 70 High- and Low-Level Feature Enhancement for Medical Image Segmentation
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    Chapter 71 Shape-Aware Complementary-Task Learning for Multi-organ Segmentation
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    Chapter 72 An Active Learning Approach for Reducing Annotation Cost in Skin Lesion Analysis
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    Chapter 73 Tree-LSTM: Using LSTM to Encode Memory in Anatomical Tree Prediction from 3D Images
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    Chapter 74 FAIM – A ConvNet Method for Unsupervised 3D Medical Image Registration
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    Chapter 75 Functional Data and Long Short-Term Memory Networks for Diagnosis of Parkinson’s Disease
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    Chapter 76 Joint Holographic Detection and Reconstruction
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    Chapter 77 Reinforced Transformer for Medical Image Captioning
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    Chapter 78 Multi-Task Convolutional Neural Network for Joint Bone Age Assessment and Ossification Center Detection from Hand Radiograph