Simulation of tomographic medical image data for training of generic segmentation models utilizing multivariate feature classification

Keyphrases

• Segmentation Model 100%
• Feature Classification 100%
• Geometric Representation 100%
• Medical Image Data 100%
• Multivariate Features 100%
• Surface Characteristics 50%
• Validation Data 50%
• Training Data 50%
• Model-based Segmentation 50%
• Medical Training 50%
• Segmentation Strategy 50%
• Segmentation Approach 50%
• Gradient Magnitude 50%
• Medical Domain 50%
• Feature Distribution 50%
• Region Homogeneity 50%
• Correlated Features 50%
• Feature Value 50%
• Medical Testing 50%
• Shape Primitives 50%
• Domain Testing 50%
• Correlation Degree 50%

Computer Science

• Segmentation Model 100%
• Medical Image Data 100%
• Geometric Representation 100%
• Segmentation Approach 50%
• Gradient Magnitude 50%
• Training Dataset 50%
• Medical Domain 50%
• Validation Dataset 50%

Engineering

• Image Data 100%
• Gradient Magnitude 100%
• Medical Image 100%
• Medical Domain 100%