Cardiovascular and Coronary Artery Imaging
eBook - ePub

Cardiovascular and Coronary Artery Imaging

Volume 2

  1. 234 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Cardiovascular and Coronary Artery Imaging

Volume 2

About this book

Cardiovascular and Coronary Artery Imaging, Volume Two presents the basics of echocardiography, nuclear imaging and magnetic resonance imaging (MRI) and provides insights into their appropriate use. The book covers state-of-the-art approaches for automated non-invasive systems for early cardiovascular and coronary artery disease diagnosis. It includes several prominent imaging modalities such as MRI, CT and PET technologies. Other sections focus on major trends and challenges in this area and present the latest techniques for cardiovascular and coronary image analysis. - Takes an integrated approach to cardiovascular and coronary imaging using machine learning, deep learning and reinforcement learning approaches - Covers state-of-the-art approaches for automated non-invasive systems for early cardiovascular disease diagnosis - Provides a perspective on future cardiovascular imaging and highlights areas that still need improvement

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Yes, you can access Cardiovascular and Coronary Artery Imaging by Ayman S. El-Baz,Jasjit Suri,Jasjit S. Suri in PDF and/or ePUB format, as well as other popular books in Computer Science & Digital Media. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Academic Press
Year
2022
Print ISBN
9780128219836
eBook ISBN
9780128227053
Topic
Computer Science
Subtopic
Digital Media
Index
Computer Science

Table of contents

  1. Title of Book
  2. Cover image
  3. Title page
  4. Table of Contents
  5. Copyright
  6. Dedication
  7. List of Contributors
  8. About the editors
  9. Acknowledgments
  10. Chapter 1 Predictors of outcome in ST-segment elevation myocardial infarction
  11. Chapter 2 ST-segment elevation myocardial infarction
  12. Chapter 3 The effect of patient-centered education in adherence to the treatment regimen in patients with coronary artery disease
  13. Chapter 4 Artificial intelligence in cardiovascular imaging
  14. Chapter 5 Valvular assessment and flow quantification
  15. Chapter 6 Software-based analysis for computed tomography coronary angiography: current status and future aspects
  16. Chapter 7 Medical image analysis for the early prediction of hypertension
  17. Chapter 8 Left ventricle segmentation and quantification using deep learning
  18. Chapter 9 Cardiac magnetic resonance imaging of cardiomyopathy
  19. Chapter 10 Magnetic resonance imaging of pericardial diseases
  20. Chapter 11 Imaging modalities for congenital heart disease and genetic polymorphism associated with coronary artery and cardiovascular diseases
  21. Index