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Image Analysis and Recognition

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Cover of 'Image Analysis and Recognition'

Table of Contents

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    Book Overview
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    Chapter 1 Foothill: A Quasiconvex Regularization for Edge Computing of Deep Neural Networks
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    Chapter 2 NetScore: Towards Universal Metrics for Large-Scale Performance Analysis of Deep Neural Networks for Practical On-Device Edge Usage
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    Chapter 3 Real-Time Person Re-identification at the Edge: A Mixed Precision Approach
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    Chapter 4 Product Recommendation Through Real-Time Object Recognition on Image Classifiers
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    Chapter 5 Visual Inspection with Federated Learning
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    Chapter 6 Looking Under the Hood: Visualizing What LSTMs Learn
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    Chapter 7 Information Fusion via Multimodal Hashing with Discriminant Canonical Correlation Maximization
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    Chapter 8 Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting
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    Chapter 9 TPUAR-Net: Two Parallel U-Net with Asymmetric Residual-Based Deep Convolutional Neural Network for Brain Tumor Segmentation
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    Chapter 10 Data Clustering Using Variational Learning of Finite Scaled Dirichlet Mixture Models with Component Splitting
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    Chapter 11 Sequential Image Synthesis for Human Activity Video Generation
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    Chapter 12 A Deep Learning-Based Noise-Resilient Keyword Spotting Engine for Embedded Platforms
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    Chapter 13 A Compact Representation of Histopathology Images Using Digital Stain Separation and Frequency-Based Encoded Local Projections
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    Chapter 14 Computer-Aided Tumor Segmentation from T2-Weighted MR Images of Patient-Derived Tumor Xenografts
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    Chapter 15 Sit-to-Stand Analysis in the Wild Using Silhouettes for Longitudinal Health Monitoring
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    Chapter 16 Target Aware Visual Object Tracking
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    Chapter 17 Design of an End-to-End Dual Mode Driver Distraction Detection System
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    Chapter 18 Key-Track: A Lightweight Scalable LSTM-based Pedestrian Tracker for Surveillance Systems
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    Chapter 19 KPTransfer: Improved Performance and Faster Convergence from Keypoint Subset-Wise Domain Transfer in Human Pose Estimation
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    Chapter 20 Deep Learning Model for Skin Lesion Segmentation: Fully Convolutional Network
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    Chapter 21 Deep Learning Using Bayesian Optimization for Facial Age Estimation
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    Chapter 22 Female Facial Beauty Analysis Using Transfer Learning and Stacking Ensemble Model
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    Chapter 23 Investigating the Automatic Classification of Algae Using the Spectral and Morphological Characteristics via Deep Residual Learning
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    Chapter 24 A Random Field Computational Adaptive Optics Framework for Optical Coherence Microscopy
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    Chapter 25 Deep Learning Approaches for Gynaecological Ultrasound Image Segmentation: A Radio-Frequency vs B-mode Comparison
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    Chapter 26 Discovery Radiomics for Detection of Severely Atypical Melanocytic Lesions (SAML) from Skin Imaging via Deep Residual Group Convolutional Radiomic Sequencer
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    Chapter 27 Identifying Diagnostically Complex Cases Through Ensemble Learning
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    Chapter 28 tCheXNet: Detecting Pneumothorax on Chest X-Ray Images Using Deep Transfer Learning
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    Chapter 29 Improving Lesion Segmentation for Diabetic Retinopathy Using Adversarial Learning
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    Chapter 30 Context Aware Lung Cancer Annotation in Whole Slide Images Using Fully Convolutional Neural Networks
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    Chapter 31 Optimized Deep Learning Architecture for the Diagnosis of Pneumonia Through Chest X-Rays
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    Chapter 32 Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images
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    Chapter 33 TriResNet: A Deep Triple-Stream Residual Network for Histopathology Grading
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    Chapter 34 BEM-RCNN Segmentation Based on the Inadequately Labeled Moving Mesenchymal Stem Cells
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    Chapter 35 Inceptive Event Time-Surfaces for Object Classification Using Neuromorphic Cameras
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    Chapter 36 An End-to-End Deep Learning Based Gesture Recognizer for Vehicle Self Parking System
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    Chapter 37 Thermal Image SuperResolution Through Deep Convolutional Neural Network
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    Chapter 38 Compensated Row-Column Ultrasound Imaging Systems with Data-Driven Point Spread Function Learning
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    Chapter 39 Channel Count Reduction for Plane Wave Ultrasound Through Convolutional Neural Network Interpolation
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    Chapter 40 Segmentation of Aliasing Artefacts in Ultrasound Color Flow Imaging Using Convolutional Neural Networks
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    Chapter 41 Automatic Frame Selection Using MLP Neural Network in Ultrasound Elastography
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    Chapter 42 Auto SVD Clutter Filtering for US Doppler Imaging Using 3D Clustering Algorithm
Attention for Chapter 42: Auto SVD Clutter Filtering for US Doppler Imaging Using 3D Clustering Algorithm
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Chapter title
Auto SVD Clutter Filtering for US Doppler Imaging Using 3D Clustering Algorithm
Chapter number 42
Book title
Image Analysis and Recognition
Published by
Springer, Cham, August 2019
DOI 10.1007/978-3-030-27272-2_42
Book ISBNs
978-3-03-027271-5, 978-3-03-027272-2
Authors

Saad Ahmed Waraich, Adrian Chee, Di Xiao, Billy Y. S. Yiu, Alfred Yu, Waraich, Saad Ahmed, Chee, Adrian, Xiao, Di, Yiu, Billy Y. S., Yu, Alfred

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 60%
Student > Master 1 20%
Unknown 1 20%
Readers by discipline Count As %
Engineering 2 40%
Medicine and Dentistry 1 20%
Physics and Astronomy 1 20%
Unknown 1 20%