Description

Book Synopsis

This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection. Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing. It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring.

Features:

  • Provides a state-of-the-art computer vision application in the digital health care industry
  • Reviews advances in computer vision and data science technologies for analyzing information on human function and disability
  • Includes practical implementation of computer vision application using recent tools and software
  • Explores computer vision-enabled medical/clinical data security in the

    Table of Contents

    1. Introduction to Computer Vision Aided Data Analytics in Healthcare Industry 4.0 2. Deep Learning Techniques for Foetal and Infant Data Processing in a Medical Context 3. Analysis of Detecting Brain Tumors Using Deep Learning Algorithms 4. Secured Data Dissemination in a Real-Time Health Care System 5. Modality Classification of Human Emotion 6. COVID-19 Alert Zone Detection Using OpenCV 7. Feature Fusion Model for Heart Disease Diagnosis 8. Deep Learning and Its Applications in Health Care 9. Future of Computer Vision Application in Digital Healthcare 10. Study of Computer Vision Applications in Healthcare Industry 4.0

Healthcare Industry 4.0

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    £80.74

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    RRP £84.99 – you save £4.25 (5%)

    Order before 4pm today for delivery by Tue 30 Jun 2026.

    A Hardback by P. Karthikeyan, Polinpapilinho F. Katina, R. Rajagopal

    15 in stock

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      Publisher: Taylor & Francis Ltd
      Publication Date: 8/28/2023 12:00:00 AM
      ISBN13: 9781032385150, 978-1032385150
      ISBN10: 1032385154
      Also in:
      Public ownership / nationalization Library and information sciences Environmental science, engineering and technology

      Description

      Book Synopsis

      This book covers computer vision-based applications in digital healthcare industry 4.0, including different computer vision techniques, image classification, image segmentations, and object detection. Various application case studies from domains such as science, engineering, and social networking are introduced, along with their architecture and how they leverage various technologies, such as edge computing and cloud computing. It also covers applications of computer vision in tumor detection, cancer detection, combating COVID-19, and patient monitoring.

      Features:

      • Provides a state-of-the-art computer vision application in the digital health care industry
      • Reviews advances in computer vision and data science technologies for analyzing information on human function and disability
      • Includes practical implementation of computer vision application using recent tools and software
      • Explores computer vision-enabled medical/clinical data security in the

        Table of Contents

        1. Introduction to Computer Vision Aided Data Analytics in Healthcare Industry 4.0 2. Deep Learning Techniques for Foetal and Infant Data Processing in a Medical Context 3. Analysis of Detecting Brain Tumors Using Deep Learning Algorithms 4. Secured Data Dissemination in a Real-Time Health Care System 5. Modality Classification of Human Emotion 6. COVID-19 Alert Zone Detection Using OpenCV 7. Feature Fusion Model for Heart Disease Diagnosis 8. Deep Learning and Its Applications in Health Care 9. Future of Computer Vision Application in Digital Healthcare 10. Study of Computer Vision Applications in Healthcare Industry 4.0

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