Neutrosophic Set in Medical Image Analysis

Book description

Neutrosophic Set in Medical Image Analysis gives an understanding of the concepts of NS, along with knowledge on how to gather, interpret, analyze and handle medical images using NS methods. It presents the latest cutting-edge research that gives insight into neutrosophic set’s novel techniques, strategies and challenges, showing how it can be used in biomedical diagnoses systems. The neutrosophic set (NS), which is a generalization of fuzzy set, offers the prospect of overcoming the restrictions of fuzzy-based approaches to medical image analysis.

  • Introduces the mathematical model and concepts of neutrosophic theory and methods
  • Highlights the different techniques of neutrosophic theory, focusing on applying the neutrosophic set in image analysis to support computer- aided diagnosis (CAD) systems, including approaches from soft computing and machine learning
  • Shows how NS techniques can be applied to medical image denoising, segmentation and classification
  • Provides challenges and future directions in neutrosophic set based medical image analysis

Table of contents

  1. Cover image
  2. Title page
  3. Table of Contents
  4. Copyright
  5. Contributors
  6. Preface
  7. Acknowledgement
  8. Part I: Background on neutrosophic set in medical image analysis
    1. 1: Introduction to neutrosophy and neutrosophic environment
      1. Abstract
      2. 1 Introduction
      3. 2 Preliminaries
      4. 3 Neutrosophic set
      5. 4 Single-valued neutrosophic overset/underset/offset
      6. 5 An interval-valued neutrosophic linguistic set
      7. 6 Linguistic neutrosophic set
      8. 7 Bipolar neutrosophic sets
      9. 8 Complex neutrosophic set
      10. 9 Bipolar complex NSs
      11. 10 An interval complex NS
      12. 11 An interval-valued bipolar neutrosophic set
      13. 12 Neutrosophic rough sets and their extensions
      14. 13 Neutrosophic cubic sets (Jun et al., 2017)
      15. 14 Plithogenic set
      16. 15 Conclusions
    2. 2: Advanced neutrosophic sets in Microscopic Image Analysis
      1. Abstract
      2. 1 Introduction
      3. 2 Neutrosophic sets
      4. 3 NSs in MIA systems
      5. 4 Conclusions
    3. 3: Advanced neutrosophic set-based ultrasound image analysis
      1. Abstract
      2. 1 Introduction
      3. 2 Neutrosophic based CAD system for ultrasound image analysis
      4. 3 Ultrasound image in neutrosophic domain
      5. 4 Discussion
      6. 5 Conclusion
  9. Part II: Neutrosophic set in medical image denoising
    1. 4: Neutrosophic set in medical image denoising
      1. Abstract
      2. 1 Introduction
      3. 2 Noise in MR images
      4. 3 Neutrosophic set-based MR image denoising
      5. 4 Performance evaluation metrics of NS-based denoising of MR image
      6. 5 MRI dataset
      7. 6 Results and discussion
      8. 7 Conclusions
    2. 5: Advanced optimization-based neutrosophic sets for medical image denoising
      1. Abstract
      2. 1 Introduction
      3. 2 Related work
      4. 3 Methodology of the proposed method
      5. 4 Experimental results and discussion
      6. 5 Conclusions
    3. 6: Neutrosophic set-based denoising of optical coherence tomography images
      1. Abstract
      2. 1 Introduction
      3. 2 Related work
      4. 3 Proposed methodology
      5. 4 Experimental results and discussions
      6. 5 Conclusion
  10. Part III: Neutrosophic set in medical image clustering and segmentation
    1. 7: A survey on neutrosophic medical image segmentation
      1. Abstract
      2. 1 Introduction
      3. 2 Literature review
      4. 3 NS-based medical image segmentation methods
      5. 4 Limitations of NS-based medical image segmentation approaches
      6. 5 Conclusions
    2. 8: Neutrosophic set in medical image clustering
      1. Abstract
      2. 1 Introduction
      3. 2 Methodology
      4. 3 Results and discussion
      5. 4 Conclusions
    3. 9: Optimization-based neutrosophic set for medical image processing
      1. Abstract
      2. 1 Introduction
      3. 2 Methodology
      4. 3 Results and discussion
      5. 4 Conclusions
    4. 10: Neutrosophic hough transform for blood cells nuclei detection
      1. Abstract
      2. 1 Introduction
      3. 2 Methodology
      4. 3 Results and discussions
      5. 4 Conclusions
    5. 11: Neutrosophic sets in dermoscopic medical image segmentation
      1. Abstract
      2. 1 Introduction
      3. 2 Related studies
      4. 3 Methodology
      5. 4 Experimental results and discussion
      6. 5 Conclusions
  11. Part IV: Neutrosophic set in medical image classification
    1. 12: Neutrosophic similarity score-based entropy measure for focal and nonfocal electroencephalogram signal classification
      1. Abstract
      2. 1 Introduction
      3. 2 Methodology
      4. 3 Experimental works and results
      5. 4 Conclusions
    2. 13: Neutrosophic multiple deep convolutional neural network for skin dermoscopic image classification
      1. Abstract
      2. 1 Introduction
      3. 2 Related work
      4. 3 Methodology
      5. 4 Experimental results
      6. 5 Conclusion
    3. 14: Neutrosophic set-based deep learning in mammogram analysis
      1. Abstract
      2. Acknowledgments
      3. 1 Introduction
      4. 2 Materials and methods
      5. 3 Experimental results
      6. 4 Discussion
      7. 5 Conclusions
  12. Part V: Challenges and future directions in neutrosophic theory
    1. 15: Challenges and future directions in neutrosophic set-based medical image analysis
      1. Abstract
      2. 1 Introduction
      3. 2 Medical image analysis
      4. 3 Image modalities
      5. 4 Neutrosophy-based medical image analysis
      6. 5 Discussion on challenges and the future scope in neutrosophic set-based medical image analysis
      7. 6 Conclusion
  13. Index

Product information

  • Title: Neutrosophic Set in Medical Image Analysis
  • Author(s): Yanhui Guo, Amira Ashour
  • Release date: August 2019
  • Publisher(s): Academic Press
  • ISBN: 9780128181492