Generic 3D Segmentation in Medicine based on a Self-learning Topological Model

Keyphrases

• 3D Segmentation 100%
• Body Regions 100%
• Topological Model 100%
• Segmentation Method 50%
• Human Brain 50%
• Processing pipeline 50%
• Manual Segmentation 50%
• Fully Automated 50%
• Differential Diagnosis 50%
• Feature Classification 50%
• Classification Process 50%
• Modern Diagnostics 50%
• Automated Method 50%
• Clinical Workflow 50%
• Robust Segmentation 50%
• Pre-segmentation 50%
• Medical Image Data 50%
• BrainWeb 50%
• Small Region 50%
• Number of Features 50%
• Hybrid Modification 50%
• Domain Texture 50%
• Connected Region 50%
• Hippocampus 50%
• Topographic Model 50%
• Parameter-free 50%
• Brain-inspired 50%
• Medical Image Segmentation 50%
• Morphological Regions 50%
• Watershed Algorithm 50%
• Three-dimensional Domain 50%

Computer Science

• Research Effort 100%
• Workflow 100%
• Manual Segmentation 100%
• Segmentation Method 100%
• Robust Segmentation 100%
• Classification Process 100%
• Presegmentation 100%
• Medical Image Data 100%
• Reference Data 100%
• watershed algorithm 100%
• Sufficient Number 100%
• Differential Diagnosis 100%
• Free Parameter 100%
• Meaningful Structure 100%

Engineering

• Metrics 100%
• Image Data 100%
• Flow Work 100%
• Human Brain 100%
• Classification Process 100%
• Segmentation Method 100%
• Input Data 100%
• Presegmentation 100%
• Medical Image 100%
• Free Parameter 100%
• Reference Data 100%
• Dimensional Domain 100%