Metaheuristics Algorithms for Medical Applications
eBook - ePub

Metaheuristics Algorithms for Medical Applications

Methods and Applications

  1. 248 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Metaheuristics Algorithms for Medical Applications

Methods and Applications

About this book

Metaheuristics Algorithms for Medical Applications: Methods and Applications provides readers with the most complete reference for developing Metaheuristics techniques with Machine Learning for solving biomedical problems. The book is organized to present a stepwise progression beginning with the basics of Metaheuristics, leading into methods and practices, and concluding with advanced topics. The first section of the book presents the fundamental concepts of Metaheuristics and Machine Learning, and also provides a comprehensive taxonomic view of Metaheuristics methods according to a variety of criteria such as data type, scope, method, and so forth. The second section of the book explains how to apply Metaheuristics techniques for solving large-scale biomedical problems, including analysis and validation under different strategies. The final portion of the book focuses on advanced topics in Metaheuristics in four different applications. Readers will discover a variety of new methods, approaches, and techniques, as well as a wide range of applications demonstrating key concepts in Metaheuristics for biomedical science. The book provides a leading-edge resource for researchers in a variety of scientific fields who are interested in metaheuristics, including mathematics, biomedical engineering, computer science, biological sciences, and clinicians in medical practice. - Introduces a new set of Metaheuristics techniques for biomedical applications - Presents basic concepts of Metaheuristics, methods and practices, followed by advanced topics and applications - Provides researchers, practitioners, and project stakeholders with a complete guide for understanding and applying metaheuristics and machine learning techniques in their projects and solutions

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Yes, you can access Metaheuristics Algorithms for Medical Applications by Mohamed Abdel-Basset,Reda Mohamed,Mohamed Elhoseny in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title of Book
  2. Cover image
  3. Title page
  4. Table of Contents
  5. Copyright
  6. 1 Metaheuristic algorithms and medical applications
  7. 2 Wavelet-based image denoising using improved artificial jellyfish search optimizer
  8. 3 Artificial gorilla troops optimizer for human activity recognition in IoT-based medical applications
  9. 4 Improved gradient-based optimizer for medical image enhancement
  10. 5 Metaheuristic-based multilevel thresholding segmentation technique for brain magnetic resonance images
  11. 6 Metaheuristic algorithm’s role for machine learning techniques in medical applications
  12. 7 Metaheuristic algorithms collaborated with various machine learning models for feature selection in medical data: Comparison and analysis
  13. 8 Machine learning and improved multiobjective binary generalized normal distribution optimization in feature selection for cancer classification
  14. 9 Metaheuristics for assisting the deep neural network in classifying the chest X-ray images infected with COVID-19
  15. 10 Metaheuristic algorithms for multimodal image fusion of magnetic resonance and computed tomography brain tumor images: a comparative study
  16. 11 Metaheuristic algorithms for medical image registration: a comparative study
  17. 12 Challenges, opportunities, and future prospects
  18. Index