Automatic liver segmentation from abdominal CT volumes using graph cuts and border marching

Keyphrases

• Abdominal Computed Tomography 100%
• Appearance Model 40%
• Automated Liver Segmentation 100%
• Automatic Method 20%
• Clinical Datasets 20%
• Compensation Method 20%
• Complicated Shape 20%
• Computed Tomography 20%
• Computer-aided 20%
• Density Peaks Clustering 20%
• Fully-automatic 20%
• Grand Challenges 20%
• Graph Cuts 100%
• Intensity Model 20%
• Intensity Variation 20%
• Liver 100%
• Liver Disease Diagnosis 20%
• Liver Segmentation 20%
• Location Constraint 40%
• Model Building 20%
• Patch-wise 20%
• PCA-based 20%
• Pixel-wise 20%
• Public Database 20%
• Segmentation Accuracy 20%
• Segmentation Performance 20%
• Shape Variation 20%
• Statistical Model 20%
• Surgical Planning 20%
• Training Process 20%
• Volume-based 20%

Engineering

• Appearance Model 66%
• Clinical Data 33%
• Complicated Shape 33%
• Graph Cut 100%
• Running Average 33%
• Statistical Model 33%
• Surgical Planning 33%
• Tasks 33%