Image decomposition-based sparse extreme pixel-level feature detection model with application to medical images

Engineering

• Alternating Direction Method of Multipliers 33%
• Defects 33%
• Features Detection 100%
• Gas Fuel Manufacture 33%
• Least Square 33%
• Level Feature 100%
• Medical Image 100%
• Model Parameter 33%
• Optimisation Problem 33%
• Pixel Level 100%
• Real Image 33%
• Regularization 33%
• Segmentation Technique 33%
• Square Regression 33%
• Surgical Planning 33%
• Tasks 66%

Computer Science

• Alternating Direction Method of Multipliers 33%
• Automatic Approach 33%
• Case Study 33%
• Efficient Algorithm 33%
• Features Detection 100%
• Gradient Method 33%
• Large-Scale Optimization 33%
• Least Squares Method 33%
• Medical Imaging 33%
• Medical Treatment 33%
• Negative Feature 33%
• Optimization Problem 33%
• Pixel Intensity 66%
• Positive Feature 66%
• Postprocessing 33%
• Regularization 33%
• Segmentation Technique 33%
• Superior Performance 33%
• Surgical Planning 33%

Keyphrases

• Lowest pixels 33%
• Organ Shape 33%
• Pixel-level Feature 100%
• Preoperative Computed Tomography 33%