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Recent Trends in Image Processing and Pattern Recognition

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Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Data Characterization for Reliable AI in Medicine
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    Chapter 2 Alzheimer’s Disease Detection Using Ensemble Learning and Artificial Neural Networks
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    Chapter 3 Semi-supervised Multi-domain Learning for Medical Image Classification
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    Chapter 4 Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection
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    Chapter 5 2D Respiratory Sound Analysis to Detect Lung Abnormalities
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    Chapter 6 Analyzing Chest X-Ray to Detect the Evidence of Lung Abnormality Due to Infectious Disease
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    Chapter 7 Chest X-ray Image Super-Resolution via Deep Contrast Consistent Feature Network
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    Chapter 8 A Novel Approach to Enhance Effectiveness of Image Segmentation Techniques on Extremely Noisy Medical Images
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    Chapter 9 Federated Learning for Lung Sound Analysis
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    Chapter 10 Performance Analysis of CNN and Quantized CNN Model for Rheumatoid Arthritis Identification Using Thermal Image
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    Chapter 11 Image Processing and Pattern Recognition of Micropores of Polysulfone Membrane for the Bio-separation of Viruses from Whole Blood
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    Chapter 12 An Extreme Learning Machine-Based AutoEncoder (ELM-AE) for Denoising Knee X-ray Images and Grading Knee Osteoarthritis Severity
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    Chapter 13 Motor Imagery Classification Combining Riemannian Geometry and Artificial Neural Networks
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    Chapter 14 Autism Spectrum Disorder Detection Using Transfer Learning with VGG 19, Inception V3 and DenseNet 201
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    Chapter 15 Shrimp Shape Analysis by a Chord Length Function Based Methodology
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    Chapter 16 Supervised Neural Networks for Fruit Identification
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    Chapter 17 Targeted Clean-Label Poisoning Attacks on Federated Learning
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    Chapter 18 Building Marathi SentiWordNet
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    Chapter 19 A Computational Study on Calibrated VGG19 for Multimodal Learning and Representation in Surveillance
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    Chapter 20 Automated Deep Learning Based Approach for Albinism Detection
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    Chapter 21 A Deep Learning-Based Regression Scheme for Angle Estimation in Image Dataset
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    Chapter 22 The Classification of Native and Invasive Species in North America: A Transfer Learning and Random Forest Pipeline
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    Chapter 23 Towards a Digital Twin Integrated DLT and IoT-Based Automated Healthcare Ecosystem
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    Chapter 24 Enabling Edge Devices Using Federated Learning and Big Data for Proactive Decisions
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    Chapter 25 IoT and Blockchain Oriented Gender Determination of Bangladeshi Populations
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    Chapter 26 Federated Learning Based Secured Computational Offloading in Cyber-Physical IoST Systems
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    Chapter 27 A Hybrid Campus Security System Combined of Face, Number-Plate, and Voice Recognition
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    Chapter 28 Single-Trial Detection of Event-Related Potentials with Artificial Examples Based on Coloring Transformation
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    Chapter 29 Identifying the Relationship Between Hypothesis and Premise
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    Chapter 30 Data Poisoning Attack by Label Flipping on SplitFed Learning
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    Chapter 31 A Deep Learning-Powered Voice-Enabled Math Tutor for Kids
Attention for Chapter 4: Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection
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Chapter title
Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection
Chapter number 4
Book title
Recent Trends in Image Processing and Pattern Recognition
Published by
Springer, Cham, January 2023
DOI 10.1007/978-3-031-23599-3_4
Book ISBNs
978-3-03-123598-6, 978-3-03-123599-3
Authors

Othmani, Alice, Bizet, Thibaut, Pellerin, Tanguy, Hamdi, Badr, Bock, Marc-Antoine, Dev, Soumyabrata

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 25%
Unknown 3 75%
Readers by discipline Count As %
Computer Science 1 25%
Unknown 3 75%