Accurate lungs segmentation on CT chest images by adaptive appearance-guided shape modeling

Keyphrases

• Lung 100%
• Chest Imaging 100%
• Shape Modeling 100%
• Lung Segmentation 100%
• CT Chest 100%
• CT Images 66%
• First-order 33%
• Disease Diagnosis 33%
• Signal Intensity 33%
• Signal Properties 33%
• Computer-aided 33%
• State-of-the-art Techniques 33%
• Training Data 33%
• Lung Pathology 33%
• Dice Similarity Coefficient 33%
• Public Database 33%
• Marginal Probability 33%
• Hausdorff Distance 33%
• Local Signal 33%
• Global Signal 33%
• Spatially Inhomogeneous 33%
• Visual Appearance 33%
• Healthy Lung 33%
• Volume Difference 33%
• Lung CT 33%
• Segmentation Framework 33%
• MICCAI 33%
• Filtered Images 33%
• 3D Markov-Gibbs Random Field 33%
• Gibbs Random Field 33%
• Voxelwise 33%
• Image Signal 33%
• Blind Evaluation 33%
• Linear Combination of Discrete Gaussian 33%

Computer Science

• Shape Modeling 100%
• Gibbs Free Energy 100%
• Approximation (Algorithm) 50%
• Quantitative Assessment 50%
• Linear Combination 50%
• Training Data 50%
• Hausdorff Distance 50%
• Signal Intensity 50%
• Visual Appearance 50%
• Marginal Probability 50%