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Medical Informatics and Bioimaging Using Artificial Intelligence

Challenges, Issues, Innovations and Recent Developments

  • Book
  • © 2022

Overview

Editors:
  1. Aboul Ella Hassanien

    1. Faculty of Computers and AI, Cairo University, Giza, Egypt

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  2. Roheet Bhatnagar

    1. Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India

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  3. Václav Snášel

    1. Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

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  4. Mahmoud Yasin Shams

    1. Faculty of Artificial Intelligence, Kafrelsheikh University, Kafr El Sheikh, Egypt

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  • Presents latest developments & achievements in the field of Medical Informatics & Bio imaging
  • Includes contributions on theory, practical, case studies, and critical surveys
  • Envelops all the aspects of AI for the Sustainable Healthcare

Part of the book series: Studies in Computational Intelligence (SCI, volume 1005)

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About this book

This book emphasizes the latest developments and achievements in artificial intelligence and related technologies, focusing on the applications of artificial intelligence and medical diagnosis. The book describes the theory, applications, concept visualization, and critical surveys covering most aspects of AI for medical informatics.

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-viii
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  2. Machine Learning and Deep Learning Applications in Medical Diagnosis

    1. Front Matter

      Pages 1-1
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    2. A Deep Learning Based Cockroach Swarm Optimization Approach for Segmenting Brain MRI Images

      • Mohamed A. El-dosuky, Mahmoud Shams
      Pages 3-13

    3. Efficient Classification Model for Melanoma Based on Convolutional Neural Networks

      • Ismail Elansary, Amr Ismail, Wael Awad
      Pages 15-27

    4. Machine Learning-Supported MRI Analysis of Brain Asymmetry for Early Diagnosis of Dementia

      • Nitsa J. Herzog, George D. Magoulas
      Pages 29-52

    5. Feature Selection Based Coral Reefs Optimization for Breast Cancer Classification

      • Lobna M. Abouelmagd, Mahmoud Y. Shams, Noha E. El-Attar, Aboul Ella Hassanien
      Pages 53-72

    6. A Comprehensive Review on Brain Disease Mapping—The Underlying Technologies and AI Based Techniques for Feature Extraction and Classification Using EEG Signals

      • Jaideep Singh Sachadev, Roheet Bhatnagar
      Pages 73-91

    7. Recognition of Ocular Disease Based Optimized VGG-Net Models

      • Hanaa Salem, Kareem R. Negm, Mahmoud Y. Shams, Omar M. Elzeki
      Pages 93-111

  3. Artificial Intelligence in COVID—19 Diagnosis

    1. Front Matter

      Pages 113-113
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    2. Applications of AI and IoT in COVID-19 Vaccine and Its Impact on Social Life

      • Abdulqader M. Almars, Ibrahim Gad, El-Sayed Atlam
      Pages 115-127

    3. COVID-19 Forecasting Based on an Improved Interior Search Algorithm and Multilayer Feed-Forward Neural Network

      • Rizk M. Rizk-Allah, Aboul Ella Hassanien
      Pages 129-152

    4. Development of Disease Diagnosis Model for CXR Images and Reports—A Deep Learning Approach

      • Anandhavalli Muniasamy, Roheet Bhatnagar, Gauthaman Karunakaran
      Pages 153-171

    5. Intelligent Drug Descriptors Analysis: Toward COVID-19 Drug Repurposing

      • Aya Salama Abdelhady, Yaseen A. M. M. ElShaier, Mohamed S. Refaey, Ahmed Elsyaed Elmasry, Aboul Ella Hassanien
      Pages 173-191

  4. Emerging Technologies and Applications

    1. Front Matter

      Pages 193-193
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    2. Analysis of Aortic Valve Using a Finite Element Model

      • Kadry Ali Ezzat, Lamia Nabil Mahdy, Ashraf Darwish
      Pages 195-206

    3. Fundus Images Enhancement Using Gravitational Force and Lateral Inhibition Network for Blood Vessel Detection

      • Kamel K. Mohammed, Ashraf Darwish
      Pages 207-218

    4. Multivariate Fuzzy Logic Based Smart Healthcare Monitoring for Risk Evaluation of Cardiac Patients

      • Ridhima Mehta
      Pages 219-243

    5. Ensemble Machine Learning Model for Mortality Prediction Inside Intensive Care Unit

      • Nora El-Rashidy, Shaker El-Sappagh, Samir Abdelrazik, Hazem El-Bakry
      Pages 245-258
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Editors and Affiliations

  • Faculty of Computers and AI, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  • Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur, India

    Roheet Bhatnagar

  • Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic

    Václav Snášel

  • Faculty of Artificial Intelligence, Kafrelsheikh University, Kafr El Sheikh, Egypt

    Mahmoud Yasin Shams

Bibliographic Information

  • Book Title: Medical Informatics and Bioimaging Using Artificial Intelligence

  • Book Subtitle: Challenges, Issues, Innovations and Recent Developments

  • Editors: Aboul Ella Hassanien, Roheet Bhatnagar, Václav Snášel, Mahmoud Yasin Shams

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-030-91103-4

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-91102-7Published: 16 December 2021

  • Softcover ISBN: 978-3-030-91105-8Published: 17 December 2022

  • eBook ISBN: 978-3-030-91103-4Published: 15 December 2021

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: VIII, 258

  • Number of Illustrations: 19 b/w illustrations, 88 illustrations in colour

  • Topics: Computational Intelligence, Biomedical Engineering and Bioengineering, Health Informatics

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