Deep Learning in Medical Image Analysis
eBook - ePub

Deep Learning in Medical Image Analysis

Recent Advances and Future Trends

  1. 196 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Deep Learning in Medical Image Analysis

Recent Advances and Future Trends

About this book

This book is designed as a reference text and provides a comprehensive overview of conceptual and practical knowledge about deep learning in medical image processing techniques. The post-pandemic situation teaches us the importance of doctors, medical analysis, and diagnosis of diseases in a rapid manner. This book provides a snapshot of the state of current research between deep learning, medical image processing, and health care with special emphasis on saving human life. The chapters cover a range of advanced technologies related to patient health monitoring, predicting diseases from genomic data, detecting artefactual events in vital signs monitoring data, and managing chronic diseases. This book

  • Delivers an ideal introduction to image processing in medicine, emphasizing the clinical relevance and special requirements of the field
  • Presents key principles by implementing algorithms from scratch and using simple MATLAB®/Octave scripts with image data
  • Provides an overview of the physics of medical image processing alongside discussing image formats and data storage, intensity transforms, filtering of images and applications of the Fourier transform, three-dimensional spatial transforms, volume rendering, image registration, and tomographic reconstruction
  • Highlights the new potential applications of machine learning techniques to the solution of important problems in biomedical image applications

This book is for students, scholars, and professionals of biomedical technology and healthcare data analytics.

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Yes, you can access Deep Learning in Medical Image Analysis by R. Indrakumari,T. Ganesh Kumar,D. Murugan,Sherimon P.C. in PDF and/or ePUB format, as well as other popular books in Computer Science & Computer Science General. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Half Title
  3. Series
  4. Title
  5. Copyright
  6. Contents
  7. Editor Biographies
  8. List of Contributors
  9. Chapter 1 Journey into the Digital Frontier: Demystifying Neural Networks and Deep Learning
  10. Chapter 2 An In-Depth Analysis of Deep Learning’s Multifaceted Influence on Healthcare Systems
  11. Chapter 3 Monitoring and Diagnosis of Health Using Deep Learning Methods
  12. Chapter 4 A Survey: Recent Advances and Clinical Applications of Deep Learning in Medical Image Analysis
  13. Chapter 5 A Deep Learning Framework to Detect Diabetic Retinopathy Using CNN
  14. Chapter 6 Skin Cancer Detection and Classification Using Deep Learning Techniques
  15. Chapter 7 Prediction of Epidermis Disease Outbreak Using Deep Learning
  16. Chapter 8 Deep Learning-Based Medical Image Segmentation: A Comprehensive Investigation
  17. Chapter 9 Unleashing the Potential of Deep Learning in Diabetic Retinopathy: A Comprehensive Survey
  18. Chapter 10 Enhancing Cardiovascular Health Diagnosis through Predictive Analysis of Electronic Health Records
  19. Index