A comparative study of database reduction methods for case-based computer-aided detection systems: Preliminary results

Computer Science

• Classification Performance 100%
• Computer Aided Detection 100%
• Hill Climbing 50%
• Systems Performance 50%
• k-Nearest Neighbors Algorithm 50%
• Classification Problem 50%
• Reference Library 50%
• Random Selection 50%
• Machine Learning 50%
• Learning System 50%
• Computer Aided Design 50%

Engineering

• Case Basis 100%
• Computer Aided Detection 100%
• Nearest Neighbor 50%
• Classification Performance 33%
• Original Size 16%
• Stored Example 16%
• Efficient Management 16%
• Region of Interest 16%
• Reference Library 16%
• Classification Problem 16%
• Systems Performance 16%
• Random Selection 16%
• Learning System 16%
• Computer Aided Design 16%

Chemical Engineering

• Learning System 100%