Table 11.
Measured sensitivity, specificity, and accuracy of tissue classification: Using the final model (feature extraction using CNNs, classification using RF, and final classification result by majority voting), we perform the experiment in 10 iterations to evaluate the performance of the model using various randomization of the training, validation, and test sets. The accuracy, sensitivity, and specificity are reported as the mean ± std for all the iterations.
| Tissue | Accuracy | Sensitivity | Specificity |
|---|---|---|---|
| Calcification | 0.95±0.05 | 0.91±0.08 | 0.98±0.02 |
| Fibrosis | 0.95±0.04 | 0.91±0.07 | 0.98±0.02 |
| Normal intima | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |
| Macrophage | 0.91±0.06 | 0.84±0.10 | 0.99±0.01 |
| Media | 1.00±0.00 | 1.00±0.00 | 1.00±0.00 |
| Neovascularization | 0.98±0.02 | 0.97±0.03 | 0.99±0.01 |