• HOME
  • Search & Results
  • Full Text
  • Thesis Details
 
Page: 265
 
Full Screen

  • Title
  • Dedication
  • Declaration
  • Certificate
  • Acknowledgement
  • Abstract
  • Contents
  • List of Tables
  • List of Figures
  • Abbreviations
  • 1. Introduction
  • 2. Digital mammography
  • 3. Materials and methods
  • 4. Mammogram enhancement
  • 5. Mammogram segmentation
  • 6. Classification algorithms for detection of abnormalities in mammogram images
  • 7. Unsupervised learning techniques for mammogram classification
  • 8. Conclusion
  • List of Publications
  • Bibliography