Feasibility of multi-atlas cardiac segmentation from thoracic planning CT in a probabilistic framework

Keyphrases

• Probabilistic Framework 100%
• Automatic Segmentation 100%
• Dice Similarity Coefficient 100%
• Segmentation Framework 100%
• Interobserver Variability 100%
• Whole-heart 100%
• Cardiac Segmentation 100%
• Surface Distance 100%
• Planning Computed Tomography 100%
• Multi-atlas 100%
• Breast Cancer Patients 50%
• Large-scale Structure 50%
• Relative Risk 50%
• Error Sources 50%
• Interobserver Variation 50%
• Leave-one-out 50%
• Cardiologists 50%
• Computed Tomography Images 50%
• Cardiac Structure 50%
• Coronary Artery 50%
• Validation Strategies 50%
• Small Structure 50%
• Probabilistic Approach 50%
• Cardiac Dose 50%
• Manual Contouring 50%
• Left-sided Breast Cancer 50%
• Heart Dose 50%
• Multi-atlas Segmentation 50%
• Patient Photographs 50%
• Robust Solution 50%
• Reference Atlas 50%
• Cardiac Atlas 50%
• Segmentation Accuracy 50%
• Late Morbidity 50%
• Consensus Segmentation 50%
• Four-chamber 50%
• Consistent Segmentation 50%
• Surface Accuracy 50%
• Volume Accuracy 50%
• Probabilistic Labeling 50%
• Accurate Segmentation 50%

Medicine and Dentistry

• Computer Assisted Tomography 100%
• Breast Cancer 50%
• Cross-Validation 50%
• Coronary Artery 50%
• Contouring 50%
• Breast Radiotherapy 50%
• Cardiac Structure 50%