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Recent Trends in Image Processing and Pattern Recognition

5th International Conference, RTIP2R 2022, Kingsville, TX, USA, December 1-2, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. KC Santosh

    1. University of South Dakota, Vermillion, USA

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  2. Ayush Goyal

    1. Texas A&M University, College Station, USA

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  3. Djamila Aouada

    1. University of Luxembourg, Luxembourg, Luxembourg

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  4. Aaisha Makkar

    1. University of Derby, Derby, UK

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  5. Yao-Yi Chiang

    1. University of Minnesota, Minneapolis, USA

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  6. Satish K Singh

    1. IIIT Allahabad, Allahabad, India

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1704)

Included in the following conference series:

Conference proceedings info: RTIP2R 2022.

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About this book

This book constitutes the refereed proceedings of the 5th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2022, held in Kingsville, TX, USA, in collaboration with the Applied AI Research Laboratory of the University of South Dakota, during December 01-02, 2022.


The 31 full papers included in this book were carefully reviewed and selected from 69 submissions. They were organized in topical sections as follows: healthcare: medical imaging and informatics; computer vision and pattern recognition; internet of things and security; and signal processing and machine learning.


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Table of contents (31 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Healthcare: Medical Imaging and Informatics

    1. Front Matter

      Pages 1-1
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    2. Data Characterization for Reliable AI in Medicine

      • Sivaramakrishnan Rajaraman, Ghada Zamzmi, Feng Yang, Zhiyun Xue, Sameer K. Antani
      Pages 3-11

    3. Alzheimer’s Disease Detection Using Ensemble Learning and Artificial Neural Networks

      • Ahana Bandyopadhyay, Sourodip Ghosh, Moinak Bose, Arun Singh, Alice Othmani, KC Santosh
      Pages 12-21

    4. Semi-supervised Multi-domain Learning for Medical Image Classification

      • Ruchika Chavhan, Biplab Banerjee, Nibaran Das
      Pages 22-33

    5. Significant CC400 Functional Brain Parcellations Based LeNet5 Convolutional Neural Network for Autism Spectrum Disorder Detection

      • Alice Othmani, Thibaut Bizet, Tanguy Pellerin, Badr Hamdi, Marc-Antoine Bock, Soumyabrata Dev
      Pages 34-45

    6. 2D Respiratory Sound Analysis to Detect Lung Abnormalities

      • Rafia Sharmin Alice, Laurent Wendling, KC Santosh
      Pages 46-58

    7. Analyzing Chest X-Ray to Detect the Evidence of Lung Abnormality Due to Infectious Disease

      • Joshua Henderson, KC Santosh
      Pages 59-77

    8. Chest X-ray Image Super-Resolution via Deep Contrast Consistent Feature Network

      • M. S. Greeshma, V. R. Bindu
      Pages 78-90

    9. A Novel Approach to Enhance Effectiveness of Image Segmentation Techniques on Extremely Noisy Medical Images

      • Anuja Deshpande
      Pages 91-119

    10. Federated Learning for Lung Sound Analysis

      • Afia Farjana, Aaisha Makkar
      Pages 120-134

    11. Performance Analysis of CNN and Quantized CNN Model for Rheumatoid Arthritis Identification Using Thermal Image

      • A. S. Mahesh Kumar, M. S. Mallikarjunaswamy, S. Chandrashekara
      Pages 135-150

    12. Image Processing and Pattern Recognition of Micropores of Polysulfone Membrane for the Bio-separation of Viruses from Whole Blood

      • Shamima Khatoon, Gufran Ahmad
      Pages 151-163

    13. An Extreme Learning Machine-Based AutoEncoder (ELM-AE) for Denoising Knee X-ray Images and Grading Knee Osteoarthritis Severity

      • Sushma Chaugule, V. S. Malemath
      Pages 164-175

  3. Computer Vision and Pattern Recognition

    1. Front Matter

      Pages 177-177
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    2. Motor Imagery Classification Combining Riemannian Geometry and Artificial Neural Networks

      • Hubert Cecotti, Girish Tiwale
      Pages 179-189

    3. Autism Spectrum Disorder Detection Using Transfer Learning with VGG 19, Inception V3 and DenseNet 201

      • Md. Fazlay Rabbi, Fatema Tuz Zohra, Farhana Hossain, Naznin Nahar Akhi, Shakil Khan, Kawsher Mahbub et al.
      Pages 190-204

    4. Shrimp Shape Analysis by a Chord Length Function Based Methodology

      • Fernando J. Ramírez-Coronel, Oscar M. Rodríguez-Elías, Madaín Pérez-Patricio, Edgard Esquer-Miranda, Julio Waissman-Vilanova, Mario I. Chacón-Murguía et al.
      Pages 205-219

    5. Supervised Neural Networks for Fruit Identification

      • Ahana Bandyopadhyay, Sourodip Ghosh, Moinak Bose, Louisa Kessi, Loveleen Gaur
      Pages 220-230

    6. Targeted Clean-Label Poisoning Attacks on Federated Learning

      • Ayushi Patel, Priyanka Singh
      Pages 231-243
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Other volumes

  1. Recent Trends in Image Processing and Pattern Recognition

Editors and Affiliations

  • University of South Dakota, Vermillion, USA

    KC Santosh

  • Texas A&M University, College Station, USA

    Ayush Goyal

  • University of Luxembourg, Luxembourg, Luxembourg

    Djamila Aouada

  • University of Derby, Derby, UK

    Aaisha Makkar

  • University of Minnesota, Minneapolis, USA

    Yao-Yi Chiang

  • IIIT Allahabad, Allahabad, India

    Satish K Singh

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