基于 IVOCT 的动脉粥样硬化斑块识别与风险评估

Engineering

• Convolutional Neural Network 100%
• Macrophage 66%
• Dice Value 66%
• Plaque Rupture 50%
• Cyclic Shift 33%
• Metrics 16%
• Feature Extraction 16%
• Detection Performance 16%
• High Resolution 16%
• Test Result 16%
• Root Mean Square Error 16%
• Gradient Direction 16%
• Deep Neural Network 16%
• Histogram 16%
• Human Health 16%
• Confusion Matrix 16%