You are previewing International Journal of Rough Sets and Data Analysis (IJRSDA) Volume 2, Issue 2.
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International Journal of Rough Sets and Data Analysis (IJRSDA) Volume 2, Issue 2

Book Description

The International Journal of Rough Sets and Data Analysis (IJRSDA) is a multidisciplinary journal that publishes high-quality and significant research in all fields of rough sets, granular computing, and data mining techniques. Rough set theory is a mathematical approach concerned with the analysis and modeling of classification and decision problems involving vague, imprecise, uncertain, or incomplete information. Rough sets have been proposed for a variety of applications, including artificial intelligence and cognitive sciences, especially machine learning, knowledge discovery, data mining, expert systems, approximate reasoning, and pattern recognition. The journal extends existing research findings (theoretical innovations and modeling applications) to provide the highest quality original concepts, hybrid applications, innovative methodologies, and development trends studies for all audiences. This journal publishes original articles, reviews, technical reports, patent alerts, and case studies on the latest innovative findings of new methodologies and techniques.

This issue contains the following articles:

  • Multimodality Medical Image Fusion using M-Band Wavelet and Daubechies Complex Wavelet Transform for Radiation Therapy
  • Modified Distance Regularized Level Set Segmentation Based Analysis for Kidney Stone Detection
  • GPU Based Modified HYPR Technique: A Promising Method for Low Dose Imaging
  • Identification of Chronic Wound Status under Tele-Wound Network through Smartphone
  • Medical Image Fusion in Wavelet and Ridgelet Domains: A Comparative Evaluation
  • Comprehensive Survey on Metal Artifact Reduction Methods in Computed Tomography Images

Table of Contents

  1. Cover
  2. Masthead
  3. Call For Articles
  4. Special Issue on Medical Image Mining for Computer-Aided Diagnosis (CAD)
  5. Multimodality Medical Image Fusion using M-Band Wavelet and Daubechies Complex Wavelet Transform for Radiation Therapy
    1. ABSTRACT
    2. INTRODUCTION
    3. LITERATURE SURVEY
    4. MULTIMODALITY MEDICAL IMAGE FUSION SCHEME
    5. PERFORMANCE METRICS FOR COMPARISON
    6. RESULTS AND DISCUSSIONS
    7. CONCLUSION
    8. ACKNOWLEDGMENT
    9. REFERENCES
  6. Modified Distance Regularized Level Set Segmentation Based Analysis for Kidney Stone Detection
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. PROBLEM STATEMENT
    4. 3. METHODOLOGY
    5. 4. IMAGE SEGMENTATION
    6. 5. ENERGY OPTIMIZATION FOR SEGMENTATION
    7. 6. LIFTING SCHEME WAVELET PROCESSING
    8. 7. ANN CLASSIFICATION
    9. 8. IMPLEMENTATION AND RESULTS
    10. 9. CONCLUSION AND SCOPE FOR FUTURE WORK
    11. REFERENCES
  7. GPU Based Modified HYPR Technique:
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. THE OBJECTIVE: PROPOSED METHODOLOGY
    4. 3. RESULTS AND DISCUSSIONS
    5. 4. CONCLUSION
    6. REFERENCES
  8. Identification of Chronic Wound Status under Tele-Wound Network through Smartphone
    1. ABSTRACT
    2. 1. INTRODUCTION OF CHRONIC WOUND
    3. 2. PROPOSED SYSTEM MODEL
    4. 3. OPERATION
    5. 4. EXPERIMENTAL RESULT
    6. 5. CLINICAL DECISION MAKING SYSTEM
    7. 6. CONCLUSION
    8. REFERENCES
  9. Medical Image Fusion in Wavelet and Ridgelet Domains:
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. PROPOSED FUSION METHODOLOGY
    4. 3. IMAGE QUALITY EVALUATION OF FUSED IMAGES
    5. 4. RESULTS AND DISCUSSIONS
    6. 5. CONCLUSION
    7. REFERENCES
  10. Comprehensive Survey on Metal Artifact Reduction Methods in Computed Tomography Images
    1. ABSTRACT
    2. 1. INTRODUCTION
    3. 2. DISCUSSION
    4. 3. CONCLUSION
    5. REFERENCES
  11. Call For Articles