Convolutional neural network based automatic plaque characterization for intracoronary optical coherence tomography images

Keyphrases

• Optical Coherence Tomography Images 100%
• Convolutional Neural Network 100%
• Plaque Characterization 100%
• Intracoronary Optical Coherence Tomography 100%
• Neural Network-based 100%
• Plaque 60%
• Neural Network Method 40%
• Optical Coherence Tomography 20%
• Human Observer 20%
• High-resolution 20%
• Clinical Translation 20%
• Processing Stages 20%
• Feature Extraction 20%
• Coronary Artery 20%
• Prediction Accuracy 20%
• Cross-sectional Image 20%
• Classification Accuracy 20%
• Machine Learning Techniques 20%
• Pixel Classification 20%
• Random Forest Method 20%
• Traditional Machine Learning 20%
• Least Squares Support Vector Machine 20%
• Informative Feature Selection 20%
• Manual Analysis 20%
• Single-step Process 20%

Computer Science

• Convolutional Neural Network 100%
• Traditional Method 66%
• Feature Extraction 66%
• Classification Accuracy 33%
• Processing Step 33%
• Feature Selection 33%
• Prediction Accuracy 33%
• Random Decision Forest 33%
• Pixel Classification 33%
• least square support vector machine 33%
• Machine Learning 33%
• Learning System 33%