Image Processing for Automated Diagnosis of Cardiac Diseases
eBook - ePub

Image Processing for Automated Diagnosis of Cardiac Diseases

  1. 240 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Image Processing for Automated Diagnosis of Cardiac Diseases

About this book

Image Processing for Automated Diagnosis of Cardiac Diseases highlights current and emerging technologies for the automated diagnosis of cardiac diseases. It presents concepts and practical algorithms, including techniques for the automated diagnosis of organs in motion using image processing. This book is suitable for biomedical engineering researchers, engineers and scientists in research and development, and clinicians who want to learn more about and develop advanced concepts in image processing to overcome the challenges of automated diagnosis of heart disease. - Includes advanced techniques to improve diagnostic methods for various cardiac diseases - Uses methods to improve the existing diagnostic features of echocardiographic machines - Develops new diagnostic features for echocardiographic machines

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Yes, you can access Image Processing for Automated Diagnosis of Cardiac Diseases by Kalpana Chauhan,Rajeev Kumar Chauhan 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
9780323850643
eBook ISBN
9780323850650
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. Contributors
  7. Preface
  8. Acknowledgment
  9. Chapter 1 Cardiac diseases and their diagnosis methods
  10. Chapter 2 Cardiac multimodal image registration using machine learning techniques
  11. Chapter 3 Anatomical photo representations for cardiac imaging training
  12. Chapter 4 Cardiac function review by machine learning approaches
  13. Chapter 5 Despeckling in echocardiographic images using a hybrid fuzzy filter
  14. Chapter 6 Impetus to machine learning in cardiac disease diagnosis
  15. Chapter 7 Wavelet transform for cardiac image retrieval
  16. Chapter 8 AI-based diagnosis techniques for cardiac disease analysis and predictions
  17. Chapter 9 An improved regularization and fitting-based segmentation method for echocardiographic images
  18. Chapter 10 Identification of heart failure from cine-MRI images using pattern-based features
  19. Chapter 11 Medical image fusion methods: Review and application in cardiac diagnosis
  20. Index