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Elsevier

Artificial Intelligence and Image Processing in Medical Imaging

  • 1st Edition - January 17, 2024
  • Latest edition
  • Editors: Walid A. Zgallai, Dilber Uzun Ozsahin
  • Language: English

Artificial Intelligence and Image Processing in Medical Imaging deals with the applications of processing medical images with a view of improving the quality of the data in order… Read more

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Description

Artificial Intelligence and Image Processing in Medical Imaging deals with the applications of processing medical images with a view of improving the quality of the data in order to facilitate better decision- making. The book covers the basics of medical imaging and the fundamentals of image processing. It explains spatial and frequency domain applications of image processing, introduces image compression techniques and their applications, and covers image segmentation techniques and their applications. The book includes object detection and classification applications and provides an overall background to statistical analysis in biomedical systems.

The role of Machine Learning, including Neural Networks, Deep Learning, and the implications of the expansion of artificial intelligence is also covered. With contributions from prominent researchers worldwide, this book provides up-to-date and comprehensive coverage of AI applications in image processing where readers will find the latest information with clear examples and illustrations.

Key features

  • Provides the latest comprehensive coverage of the developments of AI techniques and the principles of medical imaging
  • Covers all aspects of medical imaging, from acquisition, the use of hardware and software, image analysis and implementation of AI in problem solving
  • Provides examples of medical imaging and how they’re processed, including segmentation, classification, and detection

Readership

Researchers and biomedical engineers, Postgraduate Fellows, postgraduate and undergraduate Biomedical Engineering students

Table of contents

1. Medical imaging types and acquisition2. Noise, filtering, and artefact rejection3. Frequency domain analysis4. Detection and Classification5. Statistical analysis and characterization6. Pattern recognition, and morphological features7. Introduction to Machine learning and artificial intelligence8. Convolutional neural networks and deep learning9. CT scan AI applications10. MRI AI applications

Product details

  • Edition: 1
  • Latest edition
  • Published: January 18, 2024
  • Language: English

About the editors

WZ

Walid A. Zgallai

Dr. Walid A. Zgallai earned a PhD in electrical engineering from City University London, United Kingdom and MSc in communications and signal Processing from the University of London, United Kingdom. He has received postgraduate diploma (DIC) from Imperial College of Science, Medicine, and Technology, the University of London, United Kingdom; Postgraduate Certificate in Learning and Teaching from the University of West London, United Kingdom. He serves as the Associate Executive Dean for the Faculty of Engineering Technology and Science at the Higher Colleges of Technology, UAE.
Affiliations and expertise
Division Chair, Faculty of Engineering Technology and Science, Higher Colleges of Technology, Dubai Women’s Campus, Dubai, UAE

DO

Dilber Uzun Ozsahin

Dr. Dilber Uzun Ozsahin is an accomplished Associate Professor in the Medical Diagnostic Imaging Department of the College of Health Science at the University of Sharjah. She serves as the director of the Operational Research Centre in Healthcare at the Near East University since 2020 and is establishing a new research group focused on operational research and integrated artificial intelligence in healthcare at the University of Sharjah.

Affiliations and expertise
Associate Professor, Medical Diagnostic Imaging Department, College of Health Science, University of Sharjah, United Arab Emirates

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