Skip to main content
. 2018 Sep 21;9(10):4936–4960. doi: 10.1364/BOE.9.004936

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