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Classification and Clustering in Biomedical Signal Processing

Book Description

Advanced techniques in image processing have led to many innovations supporting the medical field, especially in the area of disease diagnosis. Biomedical imaging is an essential part of early disease detection and often considered a first step in the proper management of medical pathological conditions. Classification and Clustering in Biomedical Signal Processing focuses on existing and proposed methods for medical imaging, signal processing, and analysis for the purposes of diagnosing and monitoring patient conditions. Featuring the most recent empirical research findings in the areas of signal processing for biomedical applications with an emphasis on classification and clustering techniques, this essential publication is designed for use by medical professionals, IT developers, and advanced-level graduate students.

Table of Contents

  1. Cover
  2. Title Page
  3. Copyright Page
  4. Book Series
    1. Mission
    2. Coverage
  5. Preface
    1. OBJECTIVE OF THE BOOK
    2. ORGANIZATION OF THE BOOK
  6. Acknowledgment
  7. Introduction
    1. INTRODUCTION
    2. BACKGROUND
    3. MAIN FOCUS OF THE CHAPTER
    4. FUTURE RESEARCH DIRECTIONS
    5. CONCLUSION
    6. REFERENCES
  8. Section 1: Introduction to Classification and Clustering
    1. Chapter 1: Bag-of-Features in Microscopic Images Classification
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. SOLUTIONS AND RECOMMENDATIONS (RESULTS AND DISCUSSION)
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
    2. Chapter 2: An Overview of Machine Learning in Medical Image Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND: MACHINE LEARNING TECHNIQUES
      4. MAIN FOCUS OF THE CHAPTER: MACHINE LEARNING APPLICATIONS IN MEDICAL IMAGE ANALYSIS
      5. DISCUSSION
      6. FUTURE RESEARCH DIRECTIONS
      7. CONCLUSION
      8. REFERENCES
      9. KEY TERMS AND DEFINITIONS
      10. APPENDIX
    3. Chapter 3: The Combination of Adaptive Filters to Improve the Quality of Medical Images in New Wavelet Domain
      1. ABSTRACT
      2. INTRODUCTION
      3. RELATED WORK
      4. NEW GENERATION WAVELET TRANSFORMS
      5. THE COMBINATION OF ADAPTIVE FILTERS TO IMPROVE THE QUALITY OF MEDICAL IMAGES
      6. EXPERIMENTS AND RESULTS
      7. DISCUSSION
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
      11. APPENDIX: TABLES
  9. Section 2: Filtering and Thresholding for Medical Image Quality Improvement
    1. Chapter 4: Intensity-Based Classification and Related Methods in Brain MR Images
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. THRESHOLDING
      5. CLUSTER ANALYSIS
      6. APPLICATIONS
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
    2. Chapter 5: GPU-Based Level Set Method for MRI Brain Tumor Segmentation using Modified Probabilistic Clustering
      1. ABSTRACT
      2. RESEARCH OBJECTIVE
      3. INTRODUCTION
      4. BACKGROUND
      5. PROPOSED LEVEL SET METHOD
      6. EXPERIMENTAL RESULTS AND DISCUSSION
      7. CONCLUSION
      8. ACKNOWLEDGMENT
      9. REFERENCES
  10. Section 3: Classification and Clustering of Magnetic Resonance Imaging
    1. Chapter 6: Classification of Magnetic Resonance Image and Segmentation of Brain Tissues for Tumor Detection
      1. ABSTRACT
      2. INTRODUCTION
      3. MATERIALS AND METHODS
      4. RESULTS AND DISCUSSION
      5. CONCLUSION
      6. REFERENCES
    2. Chapter 7: Analysis and Comparison of Developed 2D Medical Image Database Design using Registration Scheme, Retrieval Scheme, and Bag-of-Visual-Words
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND OFFERED
      4. METHODOLOGY
      5. PERFORMANCE EVALUATION
      6. RESULTS AND DISCUSSION
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
      12. APPENDIX
  11. Section 4: Medical Image Retrieval
    1. Chapter 8: Multimodal Indexing and Information Retrieval System Based on Mammographic Image Analysis
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. OPTIMIZATION OF SOLUTIONS AND RECOMMENDATIONS
      6. FUTURE RESEARCH PERSPECTIVES
      7. CONCLUSION
      8. REFERENCES
    2. Chapter 9: Effect of Slow and Fast Music on the Autonomic Nervous System and Cardiac Health
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. METHODS
      6. RESULTS AND DISCUSSIONS
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
      12. APPENDIX: ABBREVIATIONS
  12. Section 5: Assortment of Medical Imaging Applications-Based Classification
    1. Chapter 10: Development of Ultrasound Imaging CAD Tool for Assessment of Pathologies in Supraspinatus Tendon
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. CHALLENGES AND ISSUES
      5. BRIEF OVERVIEW OF METHODS
      6. VALIDATION METHOD
      7. DEVELOPMENT OF CAD TOOL
      8. SOFTWARE DEVELOPMENT PLATFORM
      9. QUANTITATIVE ASSESSMENT RESULTS AT DIFFERENT STAGES
      10. SUMMARY OF PROPOSED CAD TOOL
      11. FUTURE RECOMMENDATIONS
      12. CONTROVERSIES
      13. DISCUSSION AND CONCLUSION
      14. REFERENCES
      15. ADDITIONAL READING
      16. KEY TERMS AND DEFINITIONS
    2. Chapter 11: New Imaging and Computational Technology as a Guide for Catheter Ablation of Incessant Tachyarrhythmias
      1. ABSTRACT
      2. INTRODUCTION
      3. MAIN FOCUS OF THE CHAPTER
      4. RESULTS
      5. FUTURE RESEARCH DIRECTIONS
      6. CONCLUSION
      7. REFERENCES
    3. Chapter 12: An Optimized Graph-Based Metagenomic Gene Classification Approach
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. LITERATURE OVERVIEW
      5. ARCHITECTURAL APPROACH
      6. SIGNED GRAPH
      7. GRAPH REDUCTION RULE
      8. OPTIMIZE DE BRUJIN GRAPH
      9. GENE ANNOTATION
      10. GENOME FRAGMENTATION
      11. OVERLAP-LAYOUT-CONSENSUS APPROACHE
      12. EXON TRANSCRIPTION
      13. RESULT
      14. CONCLUSION
      15. REFERENCES
      16. KEY TERMS AND DEFINITIONS
    4. Chapter 13: Classification of Surface Electromyogram Signals Acquired from the Forearm of a Healthy Volunteer
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. METHODS
      6. RESULTS AND DISCUSSION
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
      9. REFERENCES
      10. KEY TERMS AND DEFINITIONS
  13. Section 6: Wireless Systems for Healthcare
    1. Chapter 14: Development of a Surface EMG-Based Control System for Controlling Assistive Devices
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. METHODS
      6. RESULTS AND DISCUSSION
      7. FUTURE RESEARCH DIRECTIONS
      8. CONCLUSION
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
    2. Chapter 15: Development of Bluetooth, Xbee, and Wi-Fi-Based Wireless Control Systems for Controlling Electric-Powered Robotic Vehicle Wheelchair Prototype
      1. ABSTRACT
      2. INTRODUCTION
      3. BACKGROUND
      4. MAIN FOCUS OF THE CHAPTER
      5. COMMONLY USED IEEE WIRELESS PROTOCOLS
      6. MATERIALS
      7. BRIEF DESCRIPTION OF THE MAJOR COMPONENTS AND SOFTWARES
      8. METHODOLOGY
      9. RESULTS AND DISCUSSION
      10. FUTURE RESEARCH DIRECTION
      11. CONCLUSION
      12. REFERENCES
      13. KEY TERMS AND DEFINITIONS
    3. Chapter 16: Wireless Body Area Networks Combined with Mobile Cloud Computing in Healthcare
      1. ABSTRACT
      2. INTRODUCTION
      3. SYSTEM ARCHITECTURE
      4. BRIEF OVERVIEW OF MCC COUPLED WBAN SYSTEM ARCHITECTURE
      5. HEALTH CARE APPLICATIONS
      6. SECURITY IN WBAN AND MOBILE CLOUD COMPUTING IN HEALTHCARE
      7. CHALLENGES
      8. CONCLUSION
      9. REFERENCES
      10. ADDITIONAL READING
      11. KEY TERMS AND DEFINITIONS
  14. Compilation of References
  15. About the Contributors