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Recent Trends in Image Processing and Pattern Recognition

6th International Conference, RTIP2R 2023, Derby, UK, December 7–8, 2023, Revised Selected Papers, Part II

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. KC Santosh

    1. University of South Dakota, Vermillion, USA

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  2. Aaisha Makkar

    1. University of Derby, Derby, UK

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  3. Myra Conway

    1. University of Derby, Derby, UK

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  4. Ashutosh K. Singh

    1. Indian Institute of Information Technology, Bhopal, India

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  5. Antoine Vacavant

    1. University of Clermont Auvergne, Aubière, France

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  6. Anas Abou el Kalam

    1. ENSA - Cadi Ayyad University, Marrakesh, Morocco

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  7. Mohamed-Rafik Bouguelia

    1. Halmstad University, Halmstad, Sweden

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  8. Ravindra Hegadi

    1. Central University of Karnataka, Kalaburagi, India

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 2027)

Included in the following conference series:

Conference proceedings info: RTIP2R 2023.

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About this book

This book constitutes the refereed proceedings of the 6th International Conference on Recent Trends in Image Processing and Pattern Recognition, RTIP2R 2023, held in Derby, UK, during December 2023, in collaboration with the Applied AI Research Lab at the University of South Dakota.


The 62 full papers included in this book were carefully reviewed and selected from 216 submissions. The papers are organized in the following topical sections:


Volume I:


Artificial intelligence and applied machine learning; applied image processing and pattern recognition; and biometrics and applications.


Volume II:


Healthcare informatics; pattern recognition in blockchain, IOT, cyber plus network security, and cryptography.

Keywords

Table of contents (31 papers)

  1. Front Matter

    Pages i-xix
    Download chapter PDF

  2. Healthcare Informatics

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Leveraging Handwriting Impairment as a Biomarker for Early Parkinson’s Disease Diagnosis

      • Anish Mathew Chacko, Rodrigue Rizk, KC Santosh
      Pages 3-11

    3. Enhancing CT Image Visualization and Analysis Through Rescaling Raw Pixel Values to Hounsfield Units

      • Rohini A. Bhusnurmath, Shivaleela Betageri
      Pages 12-20

    4. Diabetic Retinopathy Blood Vessel Detection Using Deep-CNN-Based Feature Extraction and Classification

      • Anita Murmu, Piyush Kumar
      Pages 21-33

    5. Detection of COVID-19 Disease Using Federated Learning

      • Saurabh Dixit, C. L. P. Gupta
      Pages 34-43

    6. Breast Cancer Detection Using Optimal Machine Learning Techniques: Uncovering the Most Effective Approach

      • Tanmay Joshi, Ravindra Hegadi
      Pages 44-53

    7. Compressed Deep Learning Models with XAI for COVID-19 Detection Using CXR Images

      • Deepanshi, Namo Jain, Prakhar Consul, Ishan Budhiraja, Deepak Garg
      Pages 54-66

    8. HLB Disease Detection in Omani Lime Trees Using Hyperspectral Imaging Based Techniques

      • Jacintha Menezes, Ramalingam Dharmalingam, Palaiahnakote Shivakumara
      Pages 67-81

    9. A Stack Ensemble Approach for Early Alzheimer Classification Using Machine Learning Algorithms

      • Amit Kumar, Neha Sharma, Rahul Chauhan, Akhilendra Khare, Abhineet Anand, Manish Sharma
      Pages 82-96

    10. Analyzing Pulmonary Abnormality with Superpixel Based Graph Neural Network in Chest X-Ray

      • Ronaj Pradhan, KC Santosh
      Pages 97-110

    11. Silicosis Detection Using Extended Transfer Learning Model

      • Gulshan Kumar Sharma, Priyanka Harjule, Basant Agarwal, Rajesh Kumar
      Pages 111-126

    12. Automated Make and Model Identification of Reverse Shoulder Implants Using Deep Learning Methodology

      • Ved Prakash Dubey, A. Ramanathan, Senthilvelan Rajagopalan, C. Malathy, M. Gayathri, Vineet Batta et al.
      Pages 127-138

    13. COVID-19 Disease Prediction Using Generative Adversarial Networks with Convolutional Neural Network (GANs-CNN) Model

      • Kakelli Anil Kumar, Binamra Neupane, Saugat Malla, Durga Prasad Pandey
      Pages 139-149

    14. Modified Snapshot Ensemble Algorithm for Skin Lesion Classification

      • Samson Anosh Babu Parisapogu, Mastan Mohammed Meera Durga, Vallela Kaushik Shashank Reddy, Boyapati Kalyan Chakravarthi, P. Vasanth Sena
      Pages 150-159

    15. A Residual Learning Approach Towards the Diagnosis of Colorectal Disease Effectively

      • T. P. Raseena, Jitendra Kumar, S. R. Balasundaram
      Pages 160-172

    16. Realistic Skin Image Data Generation Leveraging Conditional GAN and Classification Using Deep CNN

      • Jinaga Tulasiram, Balaji Banothu, S. Nickolas
      Pages 173-185

    17. Radiography and Thermography Based Image Processing Techniques for Assessment of Lower Back Pain

      • P. Praveen, M. S. Mallikarjunaswamy, S. Chandrashekara
      Pages 186-196

    18. Exploring Imaging Biomarkers for Early Detection of Alzheimer’s Disease Using Deep Learning: A Comprehensive Analysis

      • Nahid Sami, Aaisha Makkar, Farid Meziane, Myra Conway
      Pages 197-206

  3. Pattern Recognition in Blockchain, Cyber and Network Security, and Cryptography

    1. Front Matter

      Pages 207-207
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Other volumes

  1. Recent Trends in Image Processing and Pattern Recognition

  2. Recent Trends in Image Processing and Pattern Recognition

Editors and Affiliations

  • University of South Dakota, Vermillion, USA

    KC Santosh

  • University of Derby, Derby, UK

    Aaisha Makkar, Myra Conway

  • Indian Institute of Information Technology, Bhopal, India

    Ashutosh K. Singh

  • University of Clermont Auvergne, Aubière, France

    Antoine Vacavant

  • ENSA - Cadi Ayyad University, Marrakesh, Morocco

    Anas Abou el Kalam

  • Halmstad University, Halmstad, Sweden

    Mohamed-Rafik Bouguelia

  • Central University of Karnataka, Kalaburagi, India

    Ravindra Hegadi

Bibliographic Information

  • Book Title: Recent Trends in Image Processing and Pattern Recognition

  • Book Subtitle: 6th International Conference, RTIP2R 2023, Derby, UK, December 7–8, 2023, Revised Selected Papers, Part II

  • Editors: KC Santosh, Aaisha Makkar, Myra Conway, Ashutosh K. Singh, Antoine Vacavant, Anas Abou el Kalam, Mohamed-Rafik Bouguelia, … Ravindra Hegadi

  • Series Title: Communications in Computer and Information Science

  • DOI: https://doi.org/10.1007/978-3-031-53085-2

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Softcover ISBN: 978-3-031-53084-5Published: 30 January 2024

  • eBook ISBN: 978-3-031-53085-2Published: 29 January 2024

  • Series ISSN: 1865-0929

  • Series E-ISSN: 1865-0937

  • Edition Number: 1

  • Number of Pages: XIX, 413

  • Number of Illustrations: 34 b/w illustrations, 139 illustrations in colour

  • Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Artificial Intelligence, Computer System Implementation, Computer Applications

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