Table 9.
Measured sensitivity, specificity, and accuracy of tissue classification: Combination of features extracted from pre-trained AlexNet, and VGG-19 are used to train Random Forest.
Tissue | Accuracy | Sensitivity | Specificity |
---|---|---|---|
Calcification | 1.00 | 1.00 | 1.00 |
Fibrosis | 0.96 | 0.92 | 1.00 |
Normal intima | 1.00 | 1.00 | 1.00 |
Macrophage | 0.90 | 0.82 | 0.98 |
Media | 0.99 | 0.99 | 1.00 |
Neovascularization | 0.91 | 0.84 | 0.98 |