A learning-based CT prostate segmentation method via joint transductive feature selection and regression

Keyphrases

• Learning-based 100%
• Feature Selection 100%
• Segmentation Method 100%
• Prostate 100%
• Prostate Segmentation 100%
• Transductive 100%
• Feature Regression 100%
• CT Images 28%
• Likelihood Map 28%
• Accurate Segmentation 14%
• State-of-the-art Techniques 14%
• Challenging Tasks 14%
• Atlas-based 14%
• Novel Algorithm 14%
• Segmentation Performance 14%
• Prostate Motion 14%
• Same Patient 14%
• CT Dataset 14%
• Label Fusion 14%
• Adaptive Radiotherapy 14%
• Multi-atlas 14%
• Current Treatment 14%
• Real-world Practice 14%
• Experienced Doctors 14%
• Centroid Distance 14%
• Likelihood Estimation 14%
• Tlasso 14%
• True Positive Fraction 14%

Engineering

• Feature Extraction 100%
• Joints (Structural Components) 100%
• Segmentation Method 100%
• Experimental Result 33%
• Radiotherapy 33%
• State-of-the-Art Method 33%
• Based Segmentation Method 33%
• Smaller Subset 33%
• Likelihood Estimation 33%

Computer Science

• Feature Selection 100%
• Segmentation Method 100%
• Feature Extraction 100%
• Experimental Result 33%
• Segmentation Performance 33%
• Likelihood Estimation 33%
• True Positive 33%
• Estimation Step 33%
• Label Fusion Step 33%