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Image Analysis and Recognition

Overview of attention for book
Cover of 'Image Analysis and Recognition'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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 32: Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
5 tweeters

Readers on

mendeley
5 Mendeley
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Chapter title
Learned Pre-processing for Automatic Diabetic Retinopathy Detection on Eye Fundus Images
Chapter number 32
Book title
Image Analysis and Recognition
Published in
arXiv, August 2019
DOI 10.1007/978-3-030-27272-2_32
Book ISBNs
978-3-03-027271-5, 978-3-03-027272-2
Authors

Asim Smailagic, Anupma Sharan, Pedro Costa, Adrian Galdran, Alex Gaudio, Aurélio Campilho

Twitter Demographics

The data shown below were collected from the profiles of 5 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 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 > Doctoral Student 2 40%
Student > Ph. D. Student 1 20%
Unspecified 1 20%
Student > Master 1 20%
Readers by discipline Count As %
Engineering 2 40%
Computer Science 2 40%
Unspecified 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 July 2020.
All research outputs
#9,235,680
of 16,682,934 outputs
Outputs from arXiv
#159,555
of 668,016 outputs
Outputs of similar age
#102,959
of 218,150 outputs
Outputs of similar age from arXiv
#7,674
of 27,968 outputs
Altmetric has tracked 16,682,934 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 668,016 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 74% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 218,150 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 51% of its contemporaries.
We're also able to compare this research output to 27,968 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.