Cardiovascular and Coronary Artery Imaging
eBook - ePub

Cardiovascular and Coronary Artery Imaging

Volume 1

  1. 358 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Cardiovascular and Coronary Artery Imaging

Volume 1

About this book

Cardiovascular and Coronary Artery Imaging, Volume One covers state-of-the-art approaches for automated non-invasive systems in early cardiovascular disease diagnosis. The book includes several prominent imaging modalities, such as MRI, CT and PET technologies. A special emphasis is placed on automated imaging analysis techniques, which are important to biomedical imaging analysis of the cardiovascular system. This is a comprehensive, multi-contributed reference work that details the latest developments in spatial, temporal and functional cardiac imaging. - Takes an integrated approach to cardiovascular and coronary imaging, covering 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
2021
Print ISBN
9780128227060
eBook ISBN
9780128227077
Topic
Computer Science
Subtopic
Digital Media
Index
Computer Science

Table of contents

  1. Cover
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contents
  6. List of contributors
  7. List of Illustrations
  8. List of Tables
  9. Chapter 1 : Advanced coronary artery imaging: optical coherence tomography
  10. Chapter 2 : Technique of cardiac magnetic resonance imaging
  11. Chapter 3 : The role of automated 12-lead ECG interpretation in the diagnosis and risk stratification of cardiovascular disease
  12. Chapter 4 : Extracting heterogeneous vessels in X-ray coronary angiography via machine learning
  13. Chapter 5 : Assessing coronary artery disease using coronary computed tomography angiography
  14. Chapter 6 : Multimodality noninvasive cardiovascular imaging for the evaluation of coronary artery disease
  15. Chapter 7 : Magnetic resonance imaging of ischemic heart disease
  16. Chapter 8 : CT angiography of anomalous pulmonary veins
  17. Chapter 9 : Machine learning to predict mortality risk in coronary artery bypass surgery
  18. Chapter 10 : Computed tomography angiography of congenital anomalies of pulmonary artery
  19. Chapter 11 : Obstructive coronary artery disease diagnostics: machine learning approach for an effective preselection of patients
  20. Chapter 12 : Heart disease prediction using convolutional neural network
  21. Chapter 13 : Gene polymorphism and the risk of coronary artery disease
  22. Chapter 14 : Role of optical coherence tomography in borderline coronary lesions
  23. Index
  24. A