Automated domain-specific feature selection for classificationbased segmentation of tomographic medical image data

Keyphrases

• Feature Selection 100%
• Classification Basis 100%
• Medical Image Data 100%
• Meta-features 100%
• Domain-specific Features 100%
• Classification Problem 50%
• Set Covering 50%
• Medical Dataset 50%
• Medical Image Analysis 50%
• Machine Learning Approach 50%
• Classification Results 50%
• Feature Space 50%
• Probability Density Function 50%
• Histogram Analysis 50%
• Different Characteristics 50%
• Local Features 50%
• Monte Carlo Integration 50%
• Automated Feature Selection 50%
• Multivariate Feature Analysis 50%

Computer Science

• Feature Selection 100%
• Medical Image Data 100%
• Classification Problem 33%
• classification result 33%
• Feature Space 33%
• Probability Density Function 33%
• Machine Learning Approach 33%
• Monte Carlo Integration 33%
• Histogram Analysis 33%