Medical Image Processing
eBook - ePub

Medical Image Processing

Multimodal Fusion Techniques

  1. 397 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Medical Image Processing

Multimodal Fusion Techniques

About this book

The goal of this book is to facilitate and stimulate cross-disciplinary research in the emerging paradigm of Medical Imaging. Especially this book is to focus on analysing and articulating proven and potential security measures to tightly secure Medical Image applications and services, which are being hosted and delivered through cloud infrastructures and platforms.

This book will illustrate the prominent advancements in image processing and how intelligent image-processing techniques can be developed and deployed in the industrial market and for academicians. The readers will get to know all the right and relevant details to be empowered to successfully contribute to their personal and professional growth.

The main focus of this book is to bring all the related technologies, novel findings, and managerial applications of Medical Imaging on a single platform to provide great readability, easy understanding, and smooth adaptability of various basic and advanced concepts to Researchers in Medical Engineers, Machine Learning and Data Analysis.

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Yes, you can access Medical Image Processing by Satya Prakash Yadav,Abhishek Kumar,Ashutosh Kumar Dubey,Victor Hugo C. de Albuquerque,Adrian Rodriguez-Aguiñaga,Angeles Quezada in PDF and/or ePUB format, as well as other popular books in Physical Sciences & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Title Page
  2. Copyright
  3. Contents
  4. List of Authors
  5. 1 Medical Image Processing: A Multimodal Fusion Technique
  6. 2 Image Fusion Mathematics Theory and Practice
  7. 3 Current Trends in High-Resolution Image Reconstruction
  8. 4 Image Fusion Through Multiresolution Oversampled Decompositions
  9. 5 Mathematical Models for Remote Sensing Image Processing
  10. 6 Component Analysis and Medical Image Fusion
  11. 7 Soft Computing Approaches to Medical Image Fusion
  12. 8 Mathematical Techniques in Multispectral Image Fusion
  13. 9 Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing
  14. 10 Fusion of Multispectral and Panchromatic Images as an Optimization Problem
  15. 11 Image Fusion Using Optimization of Statistical Measurements
  16. 12 Empirical Mode Decomposition for Simultaneous Image Enhancement and Fusion
  17. 13 Multimodality Sensor Image Fusion
  18. 14 Medical Image Fusion Method by Deep Learning
  19. 15 Quaternion-Based Sparse Techniques for Multimodal and Multispectral Image Processing
  20. 16 Quaternion Neural Networks for Geometrical Operators in High-Dimensional Quaternion Space
  21. 17 Image Dehazing Using Quaternion Complex Algebra-Based Neural Networks
  22. 18 Deep Learning Model for Image Fusion and Accurate Classification of Remote Sensing Images
  23. 19 Multimodal Medical Supervised Image Fusion Method
  24. 20 Medical Image Fusion Using Deep Learning Mechanisms
  25. 21 Multifocus Image Fusion Using Content-Adaptive Blurring
  26. 22 Optimizing Top Precision Performance Measure of Content-Based Image Retrieval by Learning Similarity Function
  27. 23 Performance Evaluation of Image Fusion Techniques
  28. Index